update CRAN R packages (#28786)

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839 changed files with 5878 additions and 5038 deletions

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@ -7,14 +7,15 @@
class RAbind(RPackage): class RAbind(RPackage):
"""Combine multidimensional arrays into a single array. This is a """
Combine Multidimensional Arrays.
Combine multidimensional arrays into a single array. This is a
generalization of 'cbind' and 'rbind'. Works with vectors, matrices, and generalization of 'cbind' and 'rbind'. Works with vectors, matrices, and
higher-dimensional arrays. Also provides functions 'adrop', 'asub', and higher-dimensional arrays. Also provides functions 'adrop', 'asub', and
'afill' for manipulating, extracting and replacing data in arrays.""" 'afill' for manipulating, extracting and replacing data in arrays."""
homepage = "https://cloud.r-project.org/package=abind" cran = "abind"
url = "https://cloud.r-project.org/src/contrib/abind_1.4-3.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/abind"
version('1.4-5', sha256='3a3ace5afbcb86e56889efcebf3bf5c3bb042a282ba7cc4412d450bb246a3f2c') version('1.4-5', sha256='3a3ace5afbcb86e56889efcebf3bf5c3bb042a282ba7cc4412d450bb246a3f2c')
version('1.4-3', sha256='b6c255878c1ab81701ae701f34546e88be115629b984ac4272e311fa3c0ea6ce') version('1.4-3', sha256='b6c255878c1ab81701ae701f34546e88be115629b984ac4272e311fa3c0ea6ce')

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@ -7,10 +7,24 @@
class RAcepack(RPackage): class RAcepack(RPackage):
"""ACE and AVAS for Selecting Multiple Regression Transformations.""" """ACE and AVAS for Selecting Multiple Regression Transformations.
homepage = "https://cloud.r-project.org/package=acepack" Two nonparametric methods for multiple regression transform selection are
url = "https://cloud.r-project.org/src/contrib/acepack_1.4.1.tar.gz" provided. The first, Alternative Conditional Expectations (ACE), is an
list_url = "https://cloud.r-project.org/src/contrib/Archive/acepack" algorithm to find the fixed point of maximal correlation, i.e. it finds a
set of transformed response variables that maximizes R^2 using smoothing
functions [see Breiman, L., and J.H. Friedman. 1985. "Estimating Optimal
Transformations for Multiple Regression and Correlation". Journal of the
American Statistical Association. 80:580-598.
<doi:10.1080/01621459.1985.10478157>]. Also included is the Additivity
Variance Stabilization (AVAS) method which works better than ACE when
correlation is low [see Tibshirani, R.. 1986. "Estimating Transformations
for Regression via Additivity and Variance Stabilization". Journal of the
American Statistical Association. 83:394-405.
<doi:10.1080/01621459.1988.10478610>]. A good introduction to these two
methods is in chapter 16 of Frank Harrel's "Regression Modeling Strategies"
in the Springer Series in Statistics."""
cran = "acepack"
version('1.4.1', sha256='82750507926f02a696f6cc03693e8d4a5ee7e92500c8c15a16a9c12addcd28b9') version('1.4.1', sha256='82750507926f02a696f6cc03693e8d4a5ee7e92500c8c15a16a9c12addcd28b9')

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@ -7,12 +7,14 @@
class RAda(RPackage): class RAda(RPackage):
"""Performs discrete, real, and gentle boost under both exponential """The R Package Ada for Stochastic Boosting.
and logistic loss on a given data set."""
homepage = "https://cloud.r-project.org/package=ada" Performs discrete, real, and gentle boost under both exponential and
url = "https://cloud.r-project.org/src/contrib/ada_2.0-5.tar.gz" logistic loss on a given data set. The package ada provides a
list_url = "https://cloud.r-project.org/src/contrib/Archive/ada" straightforward, well-documented, and broad boosting routine for
classification, ideally suited for small to moderate-sized data sets."""
cran = "ada"
version('2.0-5', sha256='d900172059eebeef30c27944fc29737a231fc4f92e3c2661868383fbd9016ac0') version('2.0-5', sha256='d900172059eebeef30c27944fc29737a231fc4f92e3c2661868383fbd9016ac0')

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@ -7,17 +7,37 @@
class RAdabag(RPackage): class RAdabag(RPackage):
"""Applies Multiclass AdaBoost.M1, SAMME and Bagging.""" """Applies Multiclass AdaBoost.M1, SAMME and Bagging.
homepage = "https://cloud.r-project.org/package=adabag" It implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's
url = "https://cloud.r-project.org/src/contrib/adabag_4.1.tar.gz" Bagging algorithm using classification trees as individual classifiers.
list_url = "https://cloud.r-project.org/src/contrib/Archive/adabag" Once these classifiers have been trained, they can be used to predict on
new data. Also, cross validation estimation of the error can be done. Since
version 2.0 the function margins() is available to calculate the margins
for these classifiers. Also a higher flexibility is achieved giving access
to the rpart.control() argument of 'rpart'. Four important new features
were introduced on version 3.0, AdaBoost-SAMME (Zhu et al., 2009) is
implemented and a new function errorevol() shows the error of the ensembles
as a function of the number of iterations. In addition, the ensembles can
be pruned using the option 'newmfinal' in the predict.bagging() and
predict.boosting() functions and the posterior probability of each class
for observations can be obtained. Version 3.1 modifies the relative
importance measure to take into account the gain of the Gini index given by
a variable in each tree and the weights of these trees. Version 4.0
includes the margin-based ordered aggregation for Bagging pruning (Guo and
Boukir, 2013) and a function to auto prune the 'rpart' tree. Moreover,
three new plots are also available importanceplot(), plot.errorevol() and
plot.margins(). Version 4.1 allows to predict on unlabeled data. Version
4.2 includes the parallel computation option for some of the functions."""
cran = "adabag"
version('4.2', sha256='47019eb8cefc8372996fbb2642f64d4a91d7cedc192690a8d8be6e7e03cd3c81') version('4.2', sha256='47019eb8cefc8372996fbb2642f64d4a91d7cedc192690a8d8be6e7e03cd3c81')
version('4.1', sha256='ff938c36122cdf58a71a59a6bf79a3c7816966ee7cc4907c4a0a3c0732e3d028') version('4.1', sha256='ff938c36122cdf58a71a59a6bf79a3c7816966ee7cc4907c4a0a3c0732e3d028')
depends_on('r-rpart', type=('build', 'run')) depends_on('r-rpart', type=('build', 'run'))
depends_on('r-mlbench', when='@:4.1', type=('build', 'run'))
depends_on('r-caret', type=('build', 'run')) depends_on('r-caret', type=('build', 'run'))
depends_on('r-foreach', type=('build', 'run')) depends_on('r-foreach', type=('build', 'run'))
depends_on('r-doparallel', type=('build', 'run')) depends_on('r-doparallel', type=('build', 'run'))
depends_on('r-mlbench', type=('build', 'run'), when='@:4.1')

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@ -8,7 +8,7 @@
class RAde4(RPackage): class RAde4(RPackage):
"""Analysis of Ecological Data : Exploratory and Euclidean Methods in """Analysis of Ecological Data : Exploratory and Euclidean Methods in
Environmental Sciences Environmental Sciences.
Tools for multivariate data analysis. Several methods are provided for the Tools for multivariate data analysis. Several methods are provided for the
analysis (i.e., ordination) of one-table (e.g., principal component analysis (i.e., ordination) of one-table (e.g., principal component
@ -17,10 +17,9 @@ class RAde4(RPackage):
STATIS, multiple coinertia analysis). The philosophy of the package is STATIS, multiple coinertia analysis). The philosophy of the package is
described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.""" described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>."""
homepage = "https://pbil.univ-lyon1.fr/ADE-4" cran = "ade4"
url = "https://cloud.r-project.org/src/contrib/ade4_1.7-6.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/ade4"
version('1.7-18', sha256='ecb6f4c42c60f39702aa96f454bb536a333049c9608ee2b6bdf8795e059cc525')
version('1.7-16', sha256='9bd7a25ff4fe30a32fd8f6b71909f4c638a0e2f002fc8303c0a4795423385590') version('1.7-16', sha256='9bd7a25ff4fe30a32fd8f6b71909f4c638a0e2f002fc8303c0a4795423385590')
version('1.7-13', sha256='f5d0a7356ae63f82d3adb481a39007e7b0d70211b8724aa686af0c89c994e99b') version('1.7-13', sha256='f5d0a7356ae63f82d3adb481a39007e7b0d70211b8724aa686af0c89c994e99b')
version('1.7-11', sha256='4ccd799ae99bd625840b866a697c4a48adb751660470bf0d6cf9207b1927a572') version('1.7-11', sha256='4ccd799ae99bd625840b866a697c4a48adb751660470bf0d6cf9207b1927a572')
@ -28,6 +27,7 @@ class RAde4(RPackage):
depends_on('r@2.10:', type=('build', 'run')) depends_on('r@2.10:', type=('build', 'run'))
depends_on('r-mass', type=('build', 'run')) depends_on('r-mass', type=('build', 'run'))
depends_on('r-pixmap', when='@1.7-16:', type=('build', 'run')) depends_on('r-pixmap', type=('build', 'run'), when='@1.7-16:')
depends_on('r-sp', when='@1.7-16:', type=('build', 'run')) depends_on('r-sp', type=('build', 'run'), when='@1.7-16:')
depends_on('r-progress', when='@1.7-16:', type=('build', 'run'))
depends_on('r-progress', type=('build', 'run'), when='@1.7-16')

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@ -7,22 +7,21 @@
class RAdegenet(RPackage): class RAdegenet(RPackage):
"""Exploratory Analysis of Genetic and Genomic Data """Exploratory Analysis of Genetic and Genomic Data.
Toolset for the exploration of genetic and genomic data. Adegenet Toolset for the exploration of genetic and genomic data. Adegenet provides
provides formal (S4) classes for storing and handling various genetic formal (S4) classes for storing and handling various genetic data,
data, including genetic markers with varying ploidy and hierarchical including genetic markers with varying ploidy and hierarchical population
population structure ('genind' class), alleles counts by populations structure ('genind' class), alleles counts by populations ('genpop'), and
('genpop'), and genome-wide SNP data ('genlight'). It also implements genome-wide SNP data ('genlight'). It also implements original multivariate
original multivariate methods (DAPC, sPCA), graphics, statistical tests, methods (DAPC, sPCA), graphics, statistical tests, simulation tools,
simulation tools, distance and similarity measures, and several spatial distance and similarity measures, and several spatial methods. A range of
methods. A range of both empirical and simulated datasets is also provided both empirical and simulated datasets is also provided to illustrate
to illustrate various methods.""" various methods."""
homepage = "https://github.com/thibautjombart/adegenet/wiki" cran = "adegenet"
url = "https://cloud.r-project.org/src/contrib/adegenet_2.0.1.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/adegenet"
version('2.1.5', sha256='e4eee8c41dae6cb0841db74ec6f9adb2580873f3e313471f37df58324c1857f2')
version('2.1.3', sha256='0790114ecb22642683b5be1f4b3a6a49856e06dc2f9e21b9cba4390c2257f6c6') version('2.1.3', sha256='0790114ecb22642683b5be1f4b3a6a49856e06dc2f9e21b9cba4390c2257f6c6')
version('2.1.1', sha256='3043fe5d731a38ff0e266f090dcda448640c3d0fd61934c76da32d082e5dce7a') version('2.1.1', sha256='3043fe5d731a38ff0e266f090dcda448640c3d0fd61934c76da32d082e5dce7a')
version('2.1.0', sha256='7ee44061002b41164bbc09256307ab02e536f4f2ac03f36c7dc8f85f6af4639a') version('2.1.0', sha256='7ee44061002b41164bbc09256307ab02e536f4f2ac03f36c7dc8f85f6af4639a')
@ -36,8 +35,9 @@ class RAdegenet(RPackage):
depends_on('r-shiny', type=('build', 'run')) depends_on('r-shiny', type=('build', 'run'))
depends_on('r-ggplot2', type=('build', 'run')) depends_on('r-ggplot2', type=('build', 'run'))
depends_on('r-seqinr', type=('build', 'run')) depends_on('r-seqinr', type=('build', 'run'))
depends_on('r-spdep', type=('build', 'run'))
depends_on('r-boot', type=('build', 'run')) depends_on('r-boot', type=('build', 'run'))
depends_on('r-reshape2', type=('build', 'run')) depends_on('r-reshape2', type=('build', 'run'))
depends_on('r-dplyr@0.4.1:', type=('build', 'run')) depends_on('r-dplyr@0.4.1:', type=('build', 'run'))
depends_on('r-vegan', type=('build', 'run')) depends_on('r-vegan', type=('build', 'run'))
depends_on('r-spdep', type=('build', 'run'), when='@:2.1.3')

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@ -7,17 +7,15 @@
class RAdegraphics(RPackage): class RAdegraphics(RPackage):
"""adegraphics: An S4 Lattice-Based Package for the Representation of """An S4 Lattice-Based Package for the Representation of Multivariate Data.
Multivariate Data.
Graphical functionalities for the representation of multivariate data. Graphical functionalities for the representation of multivariate data. It
It is a complete re-implementation of the functions available in the 'ade4' is a complete re-implementation of the functions available in the 'ade4'
package.""" package."""
homepage = "https://pbil.univ-lyon1.fr/ADE-4" cran = "adegraphics"
url = "https://cloud.r-project.org/src/contrib/adegraphics_1.0-15.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/adegraphics"
version('1.0-16', sha256='7ba59ce9aeefe1c25b4b118d08ef458ffd34115412c147cc428629e72a82ec3a')
version('1.0-15', sha256='87bbcd072e9a898955f5ede4315e82365086a50a2887bf5bd2e94bbb4d3f678a') version('1.0-15', sha256='87bbcd072e9a898955f5ede4315e82365086a50a2887bf5bd2e94bbb4d3f678a')
depends_on('r@3.0.2:', type=('build', 'run')) depends_on('r@3.0.2:', type=('build', 'run'))

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@ -7,14 +7,12 @@
class RAdephylo(RPackage): class RAdephylo(RPackage):
"""adephylo: Exploratory Analyses for the Phylogenetic Comparative Method. """Exploratory Analyses for the Phylogenetic Comparative Method.
Multivariate tools to analyze comparative data, i.e. a phylogeny and Multivariate tools to analyze comparative data, i.e. a phylogeny and some
some traits measured for each taxa.""" traits measured for each taxa."""
homepage = "https://cloud.r-project.org/package=adephylo" cran = "adephylo"
url = "https://cloud.r-project.org/src/contrib/adephylo_1.1-11.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/adephylo"
version('1.1-11', sha256='154bf2645eac4493b85877933b9445442524ca4891aefe4e80c294c398cff61a') version('1.1-11', sha256='154bf2645eac4493b85877933b9445442524ca4891aefe4e80c294c398cff61a')

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@ -7,7 +7,7 @@
class RAdespatial(RPackage): class RAdespatial(RPackage):
"""adespatial: Multivariate Multiscale Spatial Analysis. """Multivariate Multiscale Spatial Analysis.
Tools for the multiscale spatial analysis of multivariate data. Several Tools for the multiscale spatial analysis of multivariate data. Several
methods are based on the use of a spatial weighting matrix and its methods are based on the use of a spatial weighting matrix and its
@ -15,10 +15,9 @@ class RAdespatial(RPackage):
approaches are described in the review Dray et al (2012) approaches are described in the review Dray et al (2012)
<doi:10.1890/11-1183.1>.""" <doi:10.1890/11-1183.1>."""
homepage = "https://cloud.r-project.org/package=adespatial" cran = "adespatial"
url = "https://cloud.r-project.org/src/contrib/adespatial_0.3-8.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/adespatial"
version('0.3-14', sha256='a2ef7549c1ed7a23651716c633b25eaff468af8ccbf2e9fcd164e485984cbfbf')
version('0.3-8', sha256='e3fd3209ce3f0a862a0794187e8c884f1697c87c96e569a2f51f252e00022906') version('0.3-8', sha256='e3fd3209ce3f0a862a0794187e8c884f1697c87c96e569a2f51f252e00022906')
depends_on('r-ade4@1.7-13:', type=('build', 'run')) depends_on('r-ade4@1.7-13:', type=('build', 'run'))

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@ -7,11 +7,11 @@
class RAdgoftest(RPackage): class RAdgoftest(RPackage):
"""Anderson-Darling GoF test with p-value calculation based on Marsaglia's """Anderson-Darling GoF test.
2004 paper 'Evaluating the Anderson-Darling Distribution'"""
homepage = "https://cloud.r-project.org/package=ADGofTest" Anderson-Darling GoF test with p-value calculation based on Marsaglia's
url = "https://cloud.r-project.org/src/contrib/ADGofTest_0.3.tar.gz" 2004 paper 'Evaluating the Anderson-Darling Distribution'."""
list_url = "https://cloud.r-project.org/src/contrib/Archive/ADGofTest"
cran = "ADGofTest"
version('0.3', sha256='9cd9313954f6ecd82480d373f6c5371ca84ab33e3f5c39d972d35cfcf1096846') version('0.3', sha256='9cd9313954f6ecd82480d373f6c5371ca84ab33e3f5c39d972d35cfcf1096846')

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@ -7,16 +7,13 @@
class RAer(RPackage): class RAer(RPackage):
"""Applied Econometrics with R """Applied Econometrics with R.
Functions, data sets, examples, demos, and vignettes Functions, data sets, examples, demos, and vignettes for the book Christian
for the book Christian Kleiber and Achim Zeileis (2008), Kleiber and Achim Zeileis (2008), Applied Econometrics with R,
Applied Econometrics with R, Springer-Verlag, New York. Springer-Verlag, New York. ISBN 978-0-387-77316-2."""
ISBN 978-0-387-77316-2."""
homepage = "https://cloud.r-project.org/package=AER" cran = "AER"
url = "https://cloud.r-project.org/src/contrib/AER_1.2-5.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/AER"
version('1.2-9', sha256='3b79390b14766419fc1e8912689bc462d4beb01aff9dad26d628aed69d04540d') version('1.2-9', sha256='3b79390b14766419fc1e8912689bc462d4beb01aff9dad26d628aed69d04540d')
version('1.2-7', sha256='3aee5c606313710c2dca6c1e9b2c20a145aa33f2a3ecc5cfcec66c8e91838a93') version('1.2-7', sha256='3aee5c606313710c2dca6c1e9b2c20a145aa33f2a3ecc5cfcec66c8e91838a93')

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class RAfex(RPackage): class RAfex(RPackage):
"""Analysis of Factorial Experiments """Analysis of Factorial Experiments.
Convenience functions for analyzing factorial experiments using ANOVA or Convenience functions for analyzing factorial experiments using ANOVA or
mixed models. aov_ez(), aov_car(), and aov_4() allow specification of mixed models. aov_ez(), aov_car(), and aov_4() allow specification of
between, within (i.e., repeated-measures), or mixed (i.e., split-plot) between, within (i.e., repeated-measures), or mixed (i.e., split-plot)
ANOVAs for data in long format (i.e., one observation per row), ANOVAs for data in long format (i.e., one observation per row),
automatically aggregating multiple observations per individual and cell automatically aggregating multiple observations per individual and cell of
of the design. mixed() fits mixed models using lme4::lmer() and computes the design. mixed() fits mixed models using lme4::lmer() and computes
p-values for all fixed effects using either Kenward-Roger or Satterthwaite p-values for all fixed effects using either Kenward-Roger or Satterthwaite
approximation for degrees of freedom (LMM only), parametric bootstrap approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs
(LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex_plot()
afex_plot() provides a high-level interface for interaction or one-way provides a high-level interface for interaction or one-way plots using
plots using ggplot2, combining raw data and model estimates. afex uses ggplot2, combining raw data and model estimates. afex uses type 3 sums of
type 3 sums of squares as default (imitating commercial statistical squares as default (imitating commercial statistical software)."""
software).
"""
homepage = "https://github.com/singmann/afex" cran = "afex"
cran = "afex"
version('1.0-1', sha256='6febc34b87a1109f5cbcd213c08d2b7b3e9cf99065fa41c19bc88ac99fb104cc') version('1.0-1', sha256='6febc34b87a1109f5cbcd213c08d2b7b3e9cf99065fa41c19bc88ac99fb104cc')
version('0.28-1', sha256='cfb0b79bfa01b590afc3354a5b2ad3640d2f4974b036d6c256fa8e684bc69c2e') version('0.28-1', sha256='cfb0b79bfa01b590afc3354a5b2ad3640d2f4974b036d6c256fa8e684bc69c2e')

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@ -7,17 +7,17 @@
class RAls(RPackage): class RAls(RPackage):
"""Alternating least squares is often used to resolve components """Multivariate Curve Resolution Alternating Least Squares (MCR-ALS).
contributing to data with a bilinear structure; the basic
technique may be extended to alternating constrained least squares.
Commonly applied constraints include unimodality, non-negativity,
and normalization of components. Several data matrices may be
decomposed simultaneously by assuming that one of the two matrices
in the bilinear decomposition is shared between datasets."""
homepage = "https://cloud.r-project.org/package=ALS" Alternating least squares is often used to resolve components contributing
url = "https://cloud.r-project.org/src/contrib/ALS_0.0.6.tar.gz" to data with a bilinear structure; the basic technique may be extended to
list_url = "https://cloud.r-project.org/src/contrib/Archive/ALS" alternating constrained least squares. Commonly applied constraints
include unimodality, non-negativity, and normalization of components.
Several data matrices may be decomposed simultaneously by assuming that one
of the two matrices in the bilinear decomposition is shared between
datasets."""
cran = "ALS"
version('0.0.6', sha256='ca90d27115ae9e476967f521bf6935723e410a3bf92477e7570e14bfd3b099eb') version('0.0.6', sha256='ca90d27115ae9e476967f521bf6935723e410a3bf92477e7570e14bfd3b099eb')

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@ -7,18 +7,16 @@
class RAmap(RPackage): class RAmap(RPackage):
"""Another Multidimensional Analysis Package """Another Multidimensional Analysis Package.
Tools for Clustering and Principal Component Analysis (With robust methods, Tools for Clustering and Principal Component Analysis (With robust methods,
and parallelized functions).""" and parallelized functions)."""
homepage = "https://cran.r-project.org/web/packages/amap/index.html" cran = "amap"
url = "https://cloud.r-project.org/src/contrib/amap_0.8-16.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/amap/"
version('0.8-18', sha256='7afbbdd681a201121374821b733c9000ca1046a2353ee386507604c2c759ec7e') version('0.8-18', sha256='7afbbdd681a201121374821b733c9000ca1046a2353ee386507604c2c759ec7e')
version('0.8-17', sha256='6b8473d1d35a9cbc611661882c8f681162e8f913f911ccd51629200ae72289c6') version('0.8-17', sha256='6b8473d1d35a9cbc611661882c8f681162e8f913f911ccd51629200ae72289c6')
version('0.8-16', sha256='d3775ad7f660581f7d2f070e426be95ae0d6743622943e6f5491988e5217d4e2') version('0.8-16', sha256='d3775ad7f660581f7d2f070e426be95ae0d6743622943e6f5491988e5217d4e2')
depends_on('r@2.10.0:', when='@:0.8-16', type=('build', 'run')) depends_on('r@2.10.0:', type=('build', 'run'))
depends_on('r@3.6.0:', when='@0.8-17:', type=('build', 'run')) depends_on('r@3.6.0:', type=('build', 'run'), when='@0.8-17:')

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@ -7,21 +7,30 @@
class RAmelia(RPackage): class RAmelia(RPackage):
"""Amelia: A Program for Missing Data """A Program for Missing Data.
Amelia II "multiply imputes" missing data in a single A tool that "multiply imputes" missing data in a single cross-section (such
cross-section (such as a survey), from a time series (like as a survey), from a time series (like variables collected for each year in
variables collected for each year in a country), or from a a country), or from a time-series-cross-sectional data set (such as
time-series-cross-sectional data set (such as collected by collected by years for each of several countries). Amelia II implements our
years for each of several countries).""" bootstrapping-based algorithm that gives essentially the same answers as
the standard IP or EMis approaches, is usually considerably faster than
existing approaches and can handle many more variables. Unlike Amelia I
and other statistically rigorous imputation software, it virtually never
crashes (but please let us know if you find to the contrary!). The program
also generalizes existing approaches by allowing for trends in time series
across observations within a cross-sectional unit, as well as priors that
allow experts to incorporate beliefs they have about the values of missing
cells in their data. Amelia II also includes useful diagnostics of the fit
of multiple imputation models. The program works from the R command line
or via a graphical user interface that does not require users to know R."""
homepage = "https://gking.harvard.edu/amelia" cran = "Amelia"
url = "https://cloud.r-project.org/src/contrib/Amelia_1.7.6.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/Amelia"
version('1.8.0', sha256='3ec1d5a68dac601b354227916aa8ec72fa1216b603dd887aae2b24cb69b5995e')
version('1.7.6', sha256='63c08d374aaf78af46c34dc78da719b3085e58d9fabdc76c6460d5193a621bea') version('1.7.6', sha256='63c08d374aaf78af46c34dc78da719b3085e58d9fabdc76c6460d5193a621bea')
depends_on('r@3.0.2:', type=('build', 'run')) depends_on('r@3.0.2:', type=('build', 'run'))
depends_on('r-rcpp@0.11:', type=('build', 'run')) depends_on('r-rcpp@0.11:', type=('build', 'run'))
depends_on('r-foreign', type=('build', 'run')) depends_on('r-foreign', type=('build', 'run'))
depends_on('r-rcpparmadillo', type=('build', 'run')) depends_on('r-rcpparmadillo', type=('build', 'run'))

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@ -7,23 +7,25 @@
class RAnimation(RPackage): class RAnimation(RPackage):
"""Provides functions for animations in statistics, covering topics """A Gallery of Animations in Statistics and Utilities to Create
in probability theory, mathematical statistics, multivariate statistics, Animations.
Provides functions for animations in statistics, covering topics in
probability theory, mathematical statistics, multivariate statistics,
non-parametric statistics, sampling survey, linear models, time series, non-parametric statistics, sampling survey, linear models, time series,
computational statistics, data mining and machine learning. computational statistics, data mining and machine learning. These
These functions maybe helpful in teaching statistics and data analysis.""" functions maybe helpful in teaching statistics and data analysis."""
homepage = "https://cloud.r-project.org/package=animation" cran = "animation"
url = "https://cloud.r-project.org/src/contrib/animation_2.5.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/animation"
version('2.7', sha256='88418f1b04ec785963bad492f30eb48b05914e9e5d88c7eef705d949cbd7e469')
version('2.6', sha256='90293638920ac436e7e4de76ebfd92e1643ccdb0259b62128f16dd0b13245b0a') version('2.6', sha256='90293638920ac436e7e4de76ebfd92e1643ccdb0259b62128f16dd0b13245b0a')
version('2.5', sha256='b232fef1b318c79710e5e1923d87baba4c85ffe2c77ddb188130e0911d8cb55f') version('2.5', sha256='b232fef1b318c79710e5e1923d87baba4c85ffe2c77ddb188130e0911d8cb55f')
depends_on('r+X', type=('build', 'run')) depends_on('r+X', type=('build', 'run'))
depends_on('r@2.14:', type=('build', 'run')) depends_on('r@2.14:', type=('build', 'run'))
depends_on('r-magick', when='@2.6:', type=('build', 'run')) depends_on('r-magick', type=('build', 'run'), when='@2.6:')
depends_on('imagemagick') depends_on('imagemagick')
depends_on('ffmpeg')
depends_on('swftools')
depends_on('texlive') depends_on('texlive')
depends_on('swftools')
depends_on('ffmpeg')

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@ -7,16 +7,14 @@
class RAnytime(RPackage): class RAnytime(RPackage):
"""Anything to 'POSIXct' or 'Date' Converter """Anything to 'POSIXct' or 'Date' Converter.
Convert input in any one of character, integer, numeric, Convert input in any one of character, integer, numeric, factor, or ordered
factor, or ordered type into 'POSIXct' (or 'Date') objects, type into 'POSIXct' (or 'Date') objects, using one of a number of
using one of a number of predefined formats, and relying on predefined formats, and relying on Boost facilities for date and time
Boost facilities for date and time parsing.""" parsing."""
homepage = "https://dirk.eddelbuettel.com/code/anytime.html" cran = "anytime"
url = "https://cloud.r-project.org/src/contrib/anytime_0.3.9.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/anytime"
version('0.3.9', sha256='1096c15249ac70997a8a41c37eeb2a6d38530621abeae05d3dcd96a8acc7574a') version('0.3.9', sha256='1096c15249ac70997a8a41c37eeb2a6d38530621abeae05d3dcd96a8acc7574a')

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@ -7,16 +7,15 @@
class RAod(RPackage): class RAod(RPackage):
"""Provides a set of functions to analyse overdispersed counts or """Analysis of Overdispersed Data.
proportions. Most of the methods are already available elsewhere but are
scattered in different packages. The proposed functions should be
considered as complements to more sophisticated methods such as generalized
estimating equations (GEE) or generalized linear mixed effect models
(GLMM)."""
homepage = "https://cloud.r-project.org/package=aod" Provides a set of functions to analyse overdispersed counts or proportions.
url = "https://cloud.r-project.org/src/contrib/aod_1.3.1.tar.gz" Most of the methods are already available elsewhere but are scattered in
list_url = "https://cloud.r-project.org/src/contrib/Archive/aod" different packages. The proposed functions should be considered as
complements to more sophisticated methods such as generalized estimating
equations (GEE) or generalized linear mixed effect models (GLMM)."""
cran = "aod"
version('1.3.1', sha256='052d8802500fcfdb3b37a8e3e6f3fbd5c3a54e48c3f68122402d2ea3a15403bc') version('1.3.1', sha256='052d8802500fcfdb3b37a8e3e6f3fbd5c3a54e48c3f68122402d2ea3a15403bc')

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@ -7,28 +7,27 @@
class RApe(RPackage): class RApe(RPackage):
"""Analyses of Phylogenetics and Evolution """Analyses of Phylogenetics and Evolution.
Functions for reading, writing, plotting, and manipulating phylogenetic Functions for reading, writing, plotting, and manipulating phylogenetic
trees, analyses of comparative data in a phylogenetic framework, ancestral trees, analyses of comparative data in a phylogenetic framework, ancestral
character analyses, analyses of diversification and macroevolution, character analyses, analyses of diversification and macroevolution,
computing distances from DNA sequences, reading and writing nucleotide computing distances from DNA sequences, reading and writing nucleotide
sequences as well as importing from BioConductor, and several tools such sequences as well as importing from BioConductor, and several tools such as
as Mantel's test, generalized skyline plots, graphical exploration of Mantel's test, generalized skyline plots, graphical exploration of
phylogenetic data (alex, trex, kronoviz), estimation of absolute phylogenetic data (alex, trex, kronoviz), estimation of absolute
evolutionary rates and clock-like trees using mean path lengths and evolutionary rates and clock-like trees using mean path lengths and
penalized likelihood, dating trees with non-contemporaneous sequences, penalized likelihood, dating trees with non-contemporaneous sequences,
translating DNA into AA sequences, and assessing sequence alignments. translating DNA into AA sequences, and assessing sequence alignments.
Phylogeny estimation can be done with the NJ, BIONJ, ME, MVR, SDM, and Phylogeny estimation can be done with the NJ, BIONJ, ME, MVR, SDM, and
triangle methods, and several methods handling incomplete distance triangle methods, and several methods handling incomplete distance matrices
matrices (NJ*, BIONJ*, MVR*, and the corresponding triangle method). Some (NJ*, BIONJ*, MVR*, and the corresponding triangle method). Some functions
functions call external applications (PhyML, Clustal, T-Coffee, Muscle) call external applications (PhyML, Clustal, T-Coffee, Muscle) whose results
whose results are returned into R.""" are returned into R."""
homepage = "http://ape-package.ird.fr/" cran = "ape"
url = "https://cloud.r-project.org/src/contrib/ape_4.1.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/ape"
version('5.6-1', sha256='25401e036576eed1200e15bf68879ccd85611303a3508b989e15164cd4c0f7f7')
version('5.4-1', sha256='f0316c8e74ce900053e8b3e8c9322b9d10e7730f3be2150365f74630bee7eee4') version('5.4-1', sha256='f0316c8e74ce900053e8b3e8c9322b9d10e7730f3be2150365f74630bee7eee4')
version('5.3', sha256='08b0df134c523feb00a86896d1aa2a43f0f0dab20a53bc6b5d6268d867988b23') version('5.3', sha256='08b0df134c523feb00a86896d1aa2a43f0f0dab20a53bc6b5d6268d867988b23')
version('5.2', sha256='27eb02856c130d59de6e06276be4981709923756319e465a7f2d4756d4f46415') version('5.2', sha256='27eb02856c130d59de6e06276be4981709923756319e465a7f2d4756d4f46415')

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@ -7,23 +7,23 @@
class RArgparse(RPackage): class RArgparse(RPackage):
"""Command Line Optional and Positional Argument Parser """Command Line Optional and Positional Argument Parser.
A command line parser to be used with Rscript to write "#!" shebang scripts A command line parser to be used with Rscript to write "#!" shebang scripts
that gracefully accept positional and optional arguments and automatically that gracefully accept positional and optional arguments and automatically
generate usage.""" generate usage."""
homepage = "https://github.com/trevorld/argparse" cran = "argparse"
url = "https://cloud.r-project.org/src/contrib/argparse_1.1.1.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/argparse"
version('2.1.3', sha256='aeda31a54a8d7a0a511cfbf7c5868637e129922671d43938165867437fb6a66e')
version('2.0.3', sha256='d26139c610ea0adf8d6632699cd34c4595ae3e7963bfc7a00cb3b7504f2059b0') version('2.0.3', sha256='d26139c610ea0adf8d6632699cd34c4595ae3e7963bfc7a00cb3b7504f2059b0')
version('2.0.1', sha256='949843920d14fc7c162aedab331a936499541736e7dafbb103fbfd79be8147ab') version('2.0.1', sha256='949843920d14fc7c162aedab331a936499541736e7dafbb103fbfd79be8147ab')
version('1.1.1', sha256='441449f0816411a868fd1b15cf4b2bc45931bbd4b67d6592dbe48875905cf93b') version('1.1.1', sha256='441449f0816411a868fd1b15cf4b2bc45931bbd4b67d6592dbe48875905cf93b')
depends_on('r-proto@1:', when='@1.0.0:1.9.9', type=('build', 'run')) depends_on('r-r6', type=('build', 'run'), when='@2.0.0:')
depends_on('r-getopt', when='@1.0.0:1.9.9', type=('build', 'run'))
depends_on('r-r6', when='@2.0.0:', type=('build', 'run'))
depends_on('r-findpython', type=('build', 'run')) depends_on('r-findpython', type=('build', 'run'))
depends_on('r-jsonlite', type=('build', 'run')) depends_on('r-jsonlite', type=('build', 'run'))
depends_on('python@3.2:', type=('build', 'run')) depends_on('python@3.2:', type=('build', 'run'))
depends_on('r-proto@1:', type=('build', 'run'), when='@1.0.0:1.9.9')
depends_on('r-getopt', type=('build', 'run'), when='@1.0.0:1.9.9')

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@ -5,7 +5,9 @@
class RAsh(RPackage): class RAsh(RPackage):
"""David Scott's ASH routines ported from S-PLUS to R.""" """David Scott's ASH Routines.
David Scott's ASH routines ported from S-PLUS to R."""
cran = 'ash' cran = 'ash'

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@ -7,7 +7,9 @@
class RAskpass(RPackage): class RAskpass(RPackage):
"""Cross-platform utilities for prompting the user for credentials or a """Safe Password Entry for R, Git, and SSH.
Cross-platform utilities for prompting the user for credentials or a
passphrase, for example to authenticate with a server or read a protected passphrase, for example to authenticate with a server or read a protected
key. Includes native programs for MacOS and Windows, hence no 'tcltk' is key. Includes native programs for MacOS and Windows, hence no 'tcltk' is
required. Password entry can be invoked in two different ways: directly required. Password entry can be invoked in two different ways: directly
@ -16,9 +18,7 @@ class RAskpass(RPackage):
environment variables. Thereby the user can be prompted for credentials or environment variables. Thereby the user can be prompted for credentials or
a passphrase if needed when R calls out to git or ssh.""" a passphrase if needed when R calls out to git or ssh."""
homepage = "https://github.com/jeroen/askpass#readme" cran = "askpass"
url = "https://cloud.r-project.org/src/contrib/askpass_1.1.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/askpass"
version('1.1', sha256='db40827d1bdbb90c0aa2846a2961d3bf9d76ad1b392302f9dd84cc2fd18c001f') version('1.1', sha256='db40827d1bdbb90c0aa2846a2961d3bf9d76ad1b392302f9dd84cc2fd18c001f')

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@ -7,18 +7,18 @@
class RAssertiveBase(RPackage): class RAssertiveBase(RPackage):
"""assertive.base: A Lightweight Core of the 'assertive' Package """A Lightweight Core of the 'assertive' Package.
A minimal set of predicates and assertions used by the assertive package. A minimal set of predicates and assertions used by the assertive package.
This is mainly for use by other package developers who want to include run-time This is mainly for use by other package developers who want to include
testing features in their own packages. End-users will usually want to use run-time testing features in their own packages. End-users will usually
assertive directly.""" want to use assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.base" cran = "assertive.base"
url = "https://cloud.r-project.org/src/contrib/assertive.base_0.0-7.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.base"
version('0.0-9', sha256='4bf0910b0eaa507e0e11c3c43c316b524500c548d307eb045d6f89047e6ba01e')
version('0.0-7', sha256='f02d4eca849f512500abb266a2a751d1fa2cf064f7142e5161a77c20b7f643f7') version('0.0-7', sha256='f02d4eca849f512500abb266a2a751d1fa2cf064f7142e5161a77c20b7f643f7')
version('0.0-1', sha256='6a5fb06ad912f01cd8aaf2aa7c8ca03b8ebbb1c5eb2be47fa145930f15f4d258') version('0.0-1', sha256='6a5fb06ad912f01cd8aaf2aa7c8ca03b8ebbb1c5eb2be47fa145930f15f4d258')
depends_on('r@3.0.0:', type=('build', 'run')) depends_on('r@3.0.0:', type=('build', 'run'))
depends_on('r@3.5.0:', type=('build', 'run'), when='@0.0-9:')

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@ -7,17 +7,14 @@
class RAssertiveCode(RPackage): class RAssertiveCode(RPackage):
"""assertive.code: Assertions to Check Properties of Code """Assertions to Check Properties of Code.
A set of predicates and assertions for checking the A set of predicates and assertions for checking the properties of code.
properties of code. This is mainly for use by other package This is mainly for use by other package developers who want to include
developers who want to include run-time testing features in run-time testing features in their own packages. End-users will usually
their own packages. End-users will usually want to use want to use assertive directly."""
assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.code" cran = "assertive.code"
url = "https://cloud.r-project.org/src/contrib/assertive.code_0.0-3.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.code"
version('0.0-3', sha256='ef80e8d1d683d776a7618e78ddccffca7f72ab4a0fcead90c670bb8f8cb90be2') version('0.0-3', sha256='ef80e8d1d683d776a7618e78ddccffca7f72ab4a0fcead90c670bb8f8cb90be2')

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@ -7,17 +7,14 @@
class RAssertiveDataUk(RPackage): class RAssertiveDataUk(RPackage):
"""assertive.data.uk: Assertions to Check Properties of Strings """Assertions to Check Properties of Strings.
A set of predicates and assertions for checking the A set of predicates and assertions for checking the properties of
properties of UK-specific complex data types. This is UK-specific complex data types. This is mainly for use by other package
mainly for use by other package developers who want to developers who want to include run-time testing features in their own
include run-time testing features in their own packages. packages. End-users will usually want to use assertive directly."""
End-users will usually want to use assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.data.uk" cran = "assertive.data.uk"
url = "https://cloud.r-project.org/src/contrib/assertive.data.uk_0.0-2.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.data.uk"
version('0.0-2', sha256='ab48dab6977e8f43d6fffb33228d158865f68dde7026d123c693d77339dcf2bb') version('0.0-2', sha256='ab48dab6977e8f43d6fffb33228d158865f68dde7026d123c693d77339dcf2bb')

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@ -7,17 +7,14 @@
class RAssertiveDataUs(RPackage): class RAssertiveDataUs(RPackage):
"""assertive.data.us: Assertions to Check Properties of Strings """Assertions to Check Properties of Strings.
A set of predicates and assertions for checking the A set of predicates and assertions for checking the properties of
properties of US-specific complex data types. This is US-specific complex data types. This is mainly for use by other package
mainly for use by other package developers who want to developers who want to include run-time testing features in their own
include run-time testing features in their own packages. packages. End-users will usually want to use assertive directly."""
End-users will usually want to use assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.data.us" cran = "assertive.data.us"
url = "https://cloud.r-project.org/src/contrib/assertive.data.us_0.0-2.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.data.us"
version('0.0-2', sha256='180e64dfe6339d25dd27d7fe9e77619ef697ef6e5bb6a3cf4fb732a681bdfaad') version('0.0-2', sha256='180e64dfe6339d25dd27d7fe9e77619ef697ef6e5bb6a3cf4fb732a681bdfaad')

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@ -7,17 +7,14 @@
class RAssertiveData(RPackage): class RAssertiveData(RPackage):
"""assertive.data: Assertions to Check Properties of Data """Assertions to Check Properties of Data.
A set of predicates and assertions for checking the A set of predicates and assertions for checking the properties of (country
properties of (country independent) complex data types. independent) complex data types. This is mainly for use by other package
This is mainly for use by other package developers who want developers who want to include run-time testing features in their own
to include run-time testing features in their own packages. packages. End-users will usually want to use assertive directly."""
End-users will usually want to use assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.data" cran = "assertive.data"
url = "https://cloud.r-project.org/src/contrib/assertive.data_0.0-3.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.data"
version('0.0-3', sha256='5a00fb48ad870d9b3c872ce3d6aa20a7948687a980f49fe945b455339e789b01') version('0.0-3', sha256='5a00fb48ad870d9b3c872ce3d6aa20a7948687a980f49fe945b455339e789b01')

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@ -7,16 +7,14 @@
class RAssertiveDatetimes(RPackage): class RAssertiveDatetimes(RPackage):
"""assertive.datetimes: Assertions to Check Properties of Dates and Times """Assertions to Check Properties of Dates and Times.
A set of predicates and assertions for checking the properties of A set of predicates and assertions for checking the properties of dates and
dates and times. This is mainly for use by other package developers times. This is mainly for use by other package developers who want to
who want to include run-time testing features in their own packages. include run-time testing features in their own packages. End-users will
End-users will usually want to use assertive directly.""" usually want to use assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.datetimes" cran = "assertive.datetimes"
url = "https://cloud.r-project.org/src/contrib/assertive.datetimes_0.0-3.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.datetimes"
version('0.0-3', sha256='014e2162f5a8d95138ed8330f7477e71c908a29341697c09a1b7198b7e012d94') version('0.0-3', sha256='014e2162f5a8d95138ed8330f7477e71c908a29341697c09a1b7198b7e012d94')

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@ -7,17 +7,14 @@
class RAssertiveFiles(RPackage): class RAssertiveFiles(RPackage):
"""assertive.files: Assertions to Check Properties of Files """Assertions to Check Properties of Files.
A set of predicates and assertions for checking the A set of predicates and assertions for checking the properties of files and
properties of files and connections. This is mainly for use connections. This is mainly for use by other package developers who want to
by other package developers who want to include run-time include run-time testing features in their own packages. End-users will
testing features in their own packages. End-users will
usually want to use assertive directly.""" usually want to use assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.files" cran = "assertive.files"
url = "https://cloud.r-project.org/src/contrib/assertive.files_0.0-2.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.files"
version('0.0-2', sha256='be6adda6f18a0427449249e44c2deff4444a123244b16fe82c92f15d24faee0a') version('0.0-2', sha256='be6adda6f18a0427449249e44c2deff4444a123244b16fe82c92f15d24faee0a')

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@ -7,18 +7,14 @@
class RAssertiveMatrices(RPackage): class RAssertiveMatrices(RPackage):
"""assertive.matrices: Assertions to Check Properties of """Assertions to Check Properties of Matrices.
Matrices
A set of predicates and assertions for checking the A set of predicates and assertions for checking the properties of matrices.
properties of matrices. This is mainly for use by other This is mainly for use by other package developers who want to include
package developers who want to include run-time testing run-time testing features in their own packages. End-users will usually
features in their own packages. End-users will usually want want to use assertive directly."""
to use assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.matrices" cran = "assertive.matrices"
url = "https://cloud.r-project.org/src/contrib/assertive.matrices_0.0-2.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.matrices"
version('0.0-2', sha256='3462a7a7e11d7cc24180330d48cc3067cf92eab1699b3e4813deec66d99f5e9b') version('0.0-2', sha256='3462a7a7e11d7cc24180330d48cc3067cf92eab1699b3e4813deec66d99f5e9b')

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@ -7,17 +7,14 @@
class RAssertiveModels(RPackage): class RAssertiveModels(RPackage):
"""assertive.models: Assertions to Check Properties of Models """Assertions to Check Properties of Models.
A set of predicates and assertions for checking the A set of predicates and assertions for checking the properties of models.
properties of models. This is mainly for use by other This is mainly for use by other package developers who want to include
package developers who want to include run-time testing run-time testing features in their own packages. End-users will usually
features in their own packages. End-users will usually want want to use assertive directly."""
to use assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.models" cran = "assertive.models"
url = "https://cloud.r-project.org/src/contrib/assertive.models_0.0-2.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.models"
version('0.0-2', sha256='b9a6d8786f352d53371dbe8c5f2f2a62a7866e30313f268e69626d5c3691c42e') version('0.0-2', sha256='b9a6d8786f352d53371dbe8c5f2f2a62a7866e30313f268e69626d5c3691c42e')

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@ -7,17 +7,14 @@
class RAssertiveNumbers(RPackage): class RAssertiveNumbers(RPackage):
"""assertive.numbers: Assertions to Check Properties of Numbers """Assertions to Check Properties of Numbers.
A set of predicates and assertions for checking the A set of predicates and assertions for checking the properties of numbers.
properties of numbers. This is mainly for use by other This is mainly for use by other package developers who want to include
package developers who want to include run-time testing run-time testing features in their own packages. End-users will usually
features in their own packages. End-users will usually want want to use assertive directly."""
to use assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.numbers" cran = "assertive.numbers"
url = "https://cloud.r-project.org/src/contrib/assertive.numbers_0.0-2.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.numbers"
version('0.0-2', sha256='bae18c0b9e5b960a20636e127eb738ecd8a266e5fc29d8bc5ca712498cd68349') version('0.0-2', sha256='bae18c0b9e5b960a20636e127eb738ecd8a266e5fc29d8bc5ca712498cd68349')

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@ -7,19 +7,15 @@
class RAssertiveProperties(RPackage): class RAssertiveProperties(RPackage):
"""assertive.properties: Assertions to Check Properties of """Assertions to Check Properties of Variables.
Variables
A set of predicates and assertions for checking the A set of predicates and assertions for checking the properties of
properties of variables, such as length, names and variables, such as length, names and attributes. This is mainly for use by
attributes. This is mainly for use by other package other package developers who want to include run-time testing features in
developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive
their own packages. End-users will usually want to use directly."""
assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.properties" cran = "assertive.properties"
url = "https://cloud.r-project.org/src/contrib/assertive.properties_0.0-4.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.properties"
version('0.0-4', sha256='5c0663fecb4b7c30f2e1d65da8644534fcfe97fb3d8b51f74c1327cd14291a6b') version('0.0-4', sha256='5c0663fecb4b7c30f2e1d65da8644534fcfe97fb3d8b51f74c1327cd14291a6b')

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@ -7,18 +7,15 @@
class RAssertiveReflection(RPackage): class RAssertiveReflection(RPackage):
"""assertive.reflection: Assertions for Checking the State of R """Assertions for Checking the State of R.
A set of predicates and assertions for checking the state A set of predicates and assertions for checking the state and capabilities
and capabilities of R, the operating system it is running of R, the operating system it is running on, and the IDE being used. This
on, and the IDE being used. This is mainly for use by other is mainly for use by other package developers who want to include run-time
package developers who want to include run-time testing testing features in their own packages. End-users will usually want to use
features in their own packages. End-users will usually want assertive directly."""
to use assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.reflection" cran = "assertive.reflection"
url = "https://cloud.r-project.org/src/contrib/assertive.reflection_0.0-5.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.reflection"
version('0.0-5', sha256='c2ca9b27cdddb9b9876351afd2ebfaf0fbe72c636cd12aa2af5d64e33fbf34bd') version('0.0-5', sha256='c2ca9b27cdddb9b9876351afd2ebfaf0fbe72c636cd12aa2af5d64e33fbf34bd')

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@ -7,17 +7,14 @@
class RAssertiveSets(RPackage): class RAssertiveSets(RPackage):
"""assertive.sets: Assertions to Check Properties of Sets """Assertions to Check Properties of Sets.
A set of predicates and assertions for checking the A set of predicates and assertions for checking the properties of sets.
properties of sets. This is mainly for use by other package This is mainly for use by other package developers who want to include
developers who want to include run-time testing features in run-time testing features in their own packages. End-users will usually
their own packages. End-users will usually want to use want to use assertive directly."""
assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.sets" cran = "assertive.sets"
url = "https://cloud.r-project.org/src/contrib/assertive.sets_0.0-3.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.sets"
version('0.0-3', sha256='876975a16ed911ea1ad12da284111c6eada6abfc0118585033abc0edb5801bb3') version('0.0-3', sha256='876975a16ed911ea1ad12da284111c6eada6abfc0118585033abc0edb5801bb3')

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@ -7,17 +7,14 @@
class RAssertiveStrings(RPackage): class RAssertiveStrings(RPackage):
"""assertive.strings: Assertions to Check Properties of Strings """Assertions to Check Properties of Strings.
A set of predicates and assertions for checking the A set of predicates and assertions for checking the properties of strings.
properties of strings. This is mainly for use by other This is mainly for use by other package developers who want to include
package developers who want to include run-time testing run-time testing features in their own packages. End-users will usually
features in their own packages. End-users will usually want want to use assertive directly."""
to use assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.strings" cran = "assertive.strings"
url = "https://cloud.r-project.org/src/contrib/assertive.strings_0.0-3.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.strings"
version('0.0-3', sha256='d541d608a01640347d661cc9a67af8202904142031a20caa270f1c83d0ccd258') version('0.0-3', sha256='d541d608a01640347d661cc9a67af8202904142031a20caa270f1c83d0ccd258')

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@ -7,17 +7,14 @@
class RAssertiveTypes(RPackage): class RAssertiveTypes(RPackage):
"""assertive.types: Assertions to Check Types of Variables """Assertions to Check Types of Variables.
A set of predicates and assertions for checking the types A set of predicates and assertions for checking the types of variables.
of variables. This is mainly for use by other package This is mainly for use by other package developers who want to include
developers who want to include run-time testing features in run-time testing features in their own packages. End-users will usually
their own packages. End-users will usually want to use want to use assertive directly."""
assertive directly."""
homepage = "https://bitbucket.org/richierocks/assertive.types" cran = "assertive.types"
url = "https://cloud.r-project.org/src/contrib/assertive.types_0.0-3.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive.types"
version('0.0-3', sha256='ab6db2eb926e7bc885f2043fab679330aa336d07755375282d89bf9f9d0cb87f') version('0.0-3', sha256='ab6db2eb926e7bc885f2043fab679330aa336d07755375282d89bf9f9d0cb87f')

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@ -7,15 +7,13 @@
class RAssertive(RPackage): class RAssertive(RPackage):
"""assertive: Readable Check Functions to Ensure Code Integrity """Readable Check Functions to Ensure Code Integrity.
Lots of predicates (is_* functions) to check the state of your Lots of predicates (is_* functions) to check the state of your variables,
variables, and assertions (assert_* functions) to throw errors if and assertions (assert_* functions) to throw errors if they aren't in the
they aren't in the right form.""" right form."""
homepage = "https://bitbucket.org/richierocks/assertive" cran = "assertive"
url = "https://cloud.r-project.org/src/contrib/assertive_0.3-6.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertive"
version('0.3-6', sha256='c403169e83c433b65e911f7fd640b378e2a4a4765a36063584b8458168a4ea0a') version('0.3-6', sha256='c403169e83c433b65e911f7fd640b378e2a4a4765a36063584b8458168a4ea0a')

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@ -7,14 +7,13 @@
class RAssertthat(RPackage): class RAssertthat(RPackage):
"""assertthat is an extension to stopifnot() that makes it easy to declare """Easy Pre and Post Assertions.
the pre and post conditions that you code should satisfy, while also
producing friendly error messages so that your users know what they've done
wrong."""
homepage = "https://cloud.r-project.org/package=assertthat" An extension to stopifnot() that makes it easy to declare the pre and post
url = "https://cloud.r-project.org/src/contrib/assertthat_0.1.tar.gz" conditions that you code should satisfy, while also producing friendly
list_url = "https://cloud.r-project.org/src/contrib/Archive/assertthat" error messages so that your users know what's gone wrong."""
cran = "assertthat"
version('0.2.1', sha256='85cf7fcc4753a8c86da9a6f454e46c2a58ffc70c4f47cac4d3e3bcefda2a9e9f') version('0.2.1', sha256='85cf7fcc4753a8c86da9a6f454e46c2a58ffc70c4f47cac4d3e3bcefda2a9e9f')
version('0.2.0', sha256='d73ef79b1e75293ed889a99571b237a95829c099f7da094d4763f83ea6fde5f2') version('0.2.0', sha256='d73ef79b1e75293ed889a99571b237a95829c099f7da094d4763f83ea6fde5f2')

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@ -7,7 +7,7 @@
class RBackports(RPackage): class RBackports(RPackage):
"""Reimplementations of Functions Introduced Since R-3.0.0 """Reimplementations of Functions Introduced Since R-3.0.0.
Functions introduced or changed since R v3.0.0 are re-implemented in this Functions introduced or changed since R v3.0.0 are re-implemented in this
package. The backports are conditionally exported in order to let R resolve package. The backports are conditionally exported in order to let R resolve
@ -16,9 +16,9 @@ class RBackports(RPackage):
functions or arguments by selectively importing specific backports to functions or arguments by selectively importing specific backports to
support older installations.""" support older installations."""
homepage = "https://github.com/r-lib/backports"
cran = "backports" cran = "backports"
version('1.4.1', sha256='845c3c59fbb05e5a892c4231b955a0afdd331d82b7cc815bcff0672023242474')
version('1.4.0', sha256='e7611565d24a852ad8b08579a7c67ad9121c1bda148bade98c7bec686e8dabbf') version('1.4.0', sha256='e7611565d24a852ad8b08579a7c67ad9121c1bda148bade98c7bec686e8dabbf')
version('1.2.1', sha256='a2834bbd57e305e5d8010322f1906ea1789b3b5ba5eca77c5ff4248aceb7c2d5') version('1.2.1', sha256='a2834bbd57e305e5d8010322f1906ea1789b3b5ba5eca77c5ff4248aceb7c2d5')
version('1.1.4', sha256='ee4b5efef22fa7ef27d7983ffcd31db52f81e1fbb7189c6e89ee09b69349ff03') version('1.1.4', sha256='ee4b5efef22fa7ef27d7983ffcd31db52f81e1fbb7189c6e89ee09b69349ff03')

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@ -7,13 +7,13 @@
class RBase64(RPackage): class RBase64(RPackage):
"""Compatibility wrapper to replace the orphaned package by Romain """Base64 Encoder and Decoder.
Francois. New applications should use the 'openssl' or 'base64enc'
package instead."""
homepage = "https://cloud.r-project.org/package=base64" Compatibility wrapper to replace the orphaned package by Romain Francois.
url = "https://cloud.r-project.org/src/contrib/base64_2.0.tar.gz" New applications should use the 'openssl' or 'base64enc' package
list_url = "https://cloud.r-project.org/src/contrib/Archive/base64" instead."""
cran = "base64"
version('2.0', sha256='8e259c2b12446197d1152b83a81bab84ccb5a5b77021a9b5645dd4c63c804bd1') version('2.0', sha256='8e259c2b12446197d1152b83a81bab84ccb5a5b77021a9b5645dd4c63c804bd1')

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@ -7,12 +7,12 @@
class RBase64enc(RPackage): class RBase64enc(RPackage):
"""This package provides tools for handling base64 encoding. It is more """Tools for base64 encoding.
This package provides tools for handling base64 encoding. It is more
flexible than the orphaned base64 package.""" flexible than the orphaned base64 package."""
homepage = "https://www.rforge.net/base64enc" cran = "base64enc"
url = "https://cloud.r-project.org/src/contrib/base64enc_0.1-3.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/base64enc"
version('0.1-3', sha256='6d856d8a364bcdc499a0bf38bfd283b7c743d08f0b288174fba7dbf0a04b688d') version('0.1-3', sha256='6d856d8a364bcdc499a0bf38bfd283b7c743d08f0b288174fba7dbf0a04b688d')

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@ -7,7 +7,7 @@
class RBayesm(RPackage): class RBayesm(RPackage):
"""Bayesian Inference for Marketing/Micro-Econometrics """Bayesian Inference for Marketing/Micro-Econometrics.
Covers many important models used in marketing and micro-econometrics Covers many important models used in marketing and micro-econometrics
applications. The package includes: Bayes Regression (univariate or applications. The package includes: Bayes Regression (univariate or
@ -29,9 +29,7 @@ class RBayesm(RPackage):
2005) and Bayesian Non- and Semi-Parametric Methods and Applications 2005) and Bayesian Non- and Semi-Parametric Methods and Applications
(Princeton U Press 2014).""" (Princeton U Press 2014)."""
homepage = "https://cloud.r-project.org/package=bayesm" cran = "bayesm"
url = "https://cloud.r-project.org/src/contrib/bayesm_3.1-0.1.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/bayesm"
version('3.1-4', sha256='061b216c62bc72eab8d646ad4075f2f78823f9913344a781fa53ea7cf4a48f94') version('3.1-4', sha256='061b216c62bc72eab8d646ad4075f2f78823f9913344a781fa53ea7cf4a48f94')
version('3.1-3', sha256='51e4827eca8cd4cf3626f3c2282543df7c392b3ffb843f4bfb386fe104642a10') version('3.1-3', sha256='51e4827eca8cd4cf3626f3c2282543df7c392b3ffb843f4bfb386fe104642a10')

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@ -7,7 +7,7 @@
class RBayesplot(RPackage): class RBayesplot(RPackage):
"""Plotting for Bayesian Models: """Plotting for Bayesian Models.
Plotting functions for posterior analysis, MCMC diagnostics, prior and Plotting functions for posterior analysis, MCMC diagnostics, prior and
posterior predictive checks, and other visualizations to support the posterior predictive checks, and other visualizations to support the
@ -18,8 +18,7 @@ class RBayesplot(RPackage):
R packages for Bayesian modeling, particularly (but not exclusively) R packages for Bayesian modeling, particularly (but not exclusively)
packages interfacing with 'Stan'.""" packages interfacing with 'Stan'."""
homepage = "https://mc-stan.org/bayesplot/" cran = "bayesplot"
cran = "bayesplot"
version('1.8.1', sha256='d8d74201ea91fa5438714686ca22a947ec9375b6c12b0cfef010c57104b1aa2a') version('1.8.1', sha256='d8d74201ea91fa5438714686ca22a947ec9375b6c12b0cfef010c57104b1aa2a')
version('1.8.0', sha256='a605f9929e681593a3ef3ca9c836e713314994aaea00f359f71cfc42d151c948') version('1.8.0', sha256='a605f9929e681593a3ef3ca9c836e713314994aaea00f359f71cfc42d151c948')

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@ -7,12 +7,12 @@
class RBbmisc(RPackage): class RBbmisc(RPackage):
"""Miscellaneous helper functions for and from B. Bischl and some other """Miscellaneous Helper Functions for B. Bischl.
guys, mainly for package development."""
homepage = "https://github.com/berndbischl/BBmisc" Miscellaneous helper functions for and from B. Bischl and some other guys,
url = "https://cloud.r-project.org/src/contrib/BBmisc_1.11.tar.gz" mainly for package development."""
list_url = "https://cloud.r-project.org/src/contrib/Archive/BBmisc"
cran = "BBmisc"
version('1.11', sha256='1ea48c281825349d8642a661bb447e23bfd651db3599bf72593bfebe17b101d2') version('1.11', sha256='1ea48c281825349d8642a661bb447e23bfd651db3599bf72593bfebe17b101d2')

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@ -7,11 +7,11 @@
class RBeanplot(RPackage): class RBeanplot(RPackage):
"""Plots univariate comparison graphs, an alternative to """Visualization via Beanplots (like Boxplot/Stripchart/Violin Plot).
boxplot/stripchart/violin plot."""
homepage = "https://cloud.r-project.org/package=beanplot" Plots univariate comparison graphs, an alternative to
url = "https://cloud.r-project.org/src/contrib/beanplot_1.2.tar.gz" boxplot/stripchart/violin plot."""
list_url = "https://cloud.r-project.org/src/contrib/Archive/beanplot"
cran = "beanplot"
version('1.2', sha256='49da299139a47171c5b4ccdea79ffbbc152894e05d552e676f135147c0c9b372') version('1.2', sha256='49da299139a47171c5b4ccdea79ffbbc152894e05d552e676f135147c0c9b372')

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@ -7,10 +7,12 @@
class RBeeswarm(RPackage): class RBeeswarm(RPackage):
"""beeswarm: The Bee Swarm Plot, an Alternative to Stripchart""" """The Bee Swarm Plot, an Alternative to Stripchart.
homepage = "https://www.cbs.dtu.dk/~eklund/beeswarm/" The bee swarm plot is a one-dimensional scatter plot like "stripchart", but
url = "https://cloud.r-project.org/src/contrib/beeswarm_0.2.3.tar.gz" with closely-packed, non-overlapping points."""
list_url = "https://cloud.r-project.org/src/contrib/Archive/beeswarm"
cran = "beeswarm"
version('0.4.0', sha256='51f4339bf4080a2be84bb49a844c636625657fbed994abeaa42aead916c3d504')
version('0.2.3', sha256='0115425e210dced05da8e162c8455526a47314f72e441ad2a33dcab3f94ac843') version('0.2.3', sha256='0115425e210dced05da8e162c8455526a47314f72e441ad2a33dcab3f94ac843')

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@ -7,17 +7,37 @@
class RBfast(RPackage): class RBfast(RPackage):
"""bfast: Breaks For Additive Season and Trend (BFAST)""" """Breaks for Additive Season and Trend.
homepage = "https://cloud.r-project.org/package=bfast" Decomposition of time series into trend, seasonal, and remainder components
url = "https://cloud.r-project.org/src/contrib/bfast_1.5.7.tar.gz" with methods for detecting and characterizing abrupt changes within the
list_url = "https://cloud.r-project.org/src/contrib/Archive/bfast" trend and seasonal components. 'BFAST' can be used to analyze different
types of satellite image time series and can be applied to other
disciplines dealing with seasonal or non-seasonal time series, such as
hydrology, climatology, and econometrics. The algorithm can be extended to
label detected changes with information on the parameters of the fitted
piecewise linear models. 'BFAST' monitoring functionality is described in
Verbesselt et al. (2010) <doi:10.1016/j.rse.2009.08.014>. 'BFAST monitor'
provides functionality to detect disturbance in near real-time based on
'BFAST'- type models, and is described in Verbesselt et al. (2012)
<doi:10.1016/j.rse.2012.02.022>. 'BFAST Lite' approach is a flexible
approach that handles missing data without interpolation, and will be
described in an upcoming paper. Furthermore, different models can now be
used to fit the time series data and detect structural changes (breaks)."""
cran = "bfast"
version('1.6.1', sha256='aaf479af1924691cbec8c67c68005c00d97cead51b2b44863c18acd4cea453ee')
version('1.5.7', sha256='01585fe8944d05ebdb13795214077bc1365f0c0372e2a1f7edb914356dace558') version('1.5.7', sha256='01585fe8944d05ebdb13795214077bc1365f0c0372e2a1f7edb914356dace558')
depends_on('r@2.15.0:', type=('build', 'run')) depends_on('r@2.15.0:', type=('build', 'run'))
depends_on('r-strucchange', type=('build', 'run')) depends_on('r@3.0.0:', type=('build', 'run'), when='@1.6.1:')
depends_on('r-strucchangercpp', type=('build', 'run'), when='@1.6.1:')
depends_on('r-zoo', type=('build', 'run')) depends_on('r-zoo', type=('build', 'run'))
depends_on('r-forecast', type=('build', 'run')) depends_on('r-forecast', type=('build', 'run'))
depends_on('r-sp', type=('build', 'run')) depends_on('r-rcpp@0.12.7:', type=('build', 'run'), when='@1.6.1:')
depends_on('r-raster', type=('build', 'run')) depends_on('r-rdpack@0.7:', type=('build', 'run'), when='@1.6.1:')
depends_on('r-strucchange', type=('build', 'run'), when='@:1.5.7')
depends_on('r-sp', type=('build', 'run'), when='@:1.5.7')
depends_on('r-raster', type=('build', 'run'), when='@:1.5.7')

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@ -7,13 +7,13 @@
class RBglr(RPackage): class RBglr(RPackage):
"""BGLR: Bayesian Generalized Linear Regression""" """Bayesian Generalized Linear Regression."""
homepage = "https://cloud.r-project.org/package=BGLR" cran = "BGLR"
url = "https://cloud.r-project.org/src/contrib/BGLR_1.0.8.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/BGLR"
version('1.0.9', sha256='440a96f9f502e0d6ecc8c00720d1ccdbab5ee8223e1def6c930edaa9a9de9099')
version('1.0.8', sha256='5e969590d80b2f272c02a43b487ab1ffa13af386e0342993e6ac484fc82c9b95') version('1.0.8', sha256='5e969590d80b2f272c02a43b487ab1ffa13af386e0342993e6ac484fc82c9b95')
depends_on('r@3.5.0:', type=('build', 'run')) depends_on('r@3.5.0:', type=('build', 'run'))
depends_on('r-truncnorm', type=('build', 'run')) depends_on('r-truncnorm', type=('build', 'run'))
depends_on('r-mass', type=('build', 'run'), when='@1.0.9:')

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@ -24,9 +24,9 @@ class RBh(RPackage):
'pending' 'phoenix' 'preprocessor' 'random' 'range' 'smart_ptr' 'spirit' 'pending' 'phoenix' 'preprocessor' 'random' 'range' 'smart_ptr' 'spirit'
'tuple' 'type_trains' 'typeof' 'unordered' 'utility' 'uuid'.""" 'tuple' 'type_trains' 'typeof' 'unordered' 'utility' 'uuid'."""
homepage = "https://cloud.r-project.org/package=BH"
cran = "BH" cran = "BH"
version('1.78.0-0', sha256='3b9e9d07682013e0c06a396dda176b405eab99a7273eca6c40d1b4c4110e8cb3')
version('1.75.0-0', sha256='ae4c10992607dd697663f60675a46a5770851da159330bb63c4a68890bdd6f5a') version('1.75.0-0', sha256='ae4c10992607dd697663f60675a46a5770851da159330bb63c4a68890bdd6f5a')
version('1.72.0-3', sha256='888ec1a3316bb69e1ba749b08ba7e0903ebc4742e3a185de8d148c13cddac8ab') version('1.72.0-3', sha256='888ec1a3316bb69e1ba749b08ba7e0903ebc4742e3a185de8d148c13cddac8ab')
version('1.69.0-1', sha256='a0fd4364b7e368f09c56dec030823f52c16da0787580af7e4615eddeb99baca2') version('1.69.0-1', sha256='a0fd4364b7e368f09c56dec030823f52c16da0787580af7e4615eddeb99baca2')

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@ -7,15 +7,15 @@
class RBiasedurn(RPackage): class RBiasedurn(RPackage):
"""Statistical models of biased sampling in the form of univariate and """Biased Urn Model Distributions.
multivariate noncentral hypergeometric distributions, including
Wallenius' noncentral hypergeometric distribution and Fisher's
noncentral hypergeometric distribution (also called extended
hypergeometric distribution). See vignette("UrnTheory") for
explanation of these distributions."""
homepage = "https://www.agner.org/random/" Statistical models of biased sampling in the form of univariate and
url = "https://cloud.r-project.org/src/contrib/BiasedUrn_1.07.tar.gz" multivariate noncentral hypergeometric distributions, including Wallenius'
list_url = "https://cloud.r-project.org/src/contrib/Archive/BiasedUrn/" noncentral hypergeometric distribution and Fisher's noncentral
hypergeometric distribution (also called extended hypergeometric
distribution). See vignette("UrnTheory") for explanation of these
distributions."""
cran = "BiasedUrn"
version('1.07', sha256='2377c2e59d68e758a566452d7e07e88663ae61a182b9ee455d8b4269dda3228e') version('1.07', sha256='2377c2e59d68e758a566452d7e07e88663ae61a182b9ee455d8b4269dda3228e')

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@ -7,13 +7,11 @@
class RBibtex(RPackage): class RBibtex(RPackage):
"""Bibtex Parser """Bibtex Parser.
Utility to parse a bibtex file.""" Utility to parse a bibtex file."""
homepage = "https://cloud.r-project.org/package=bibtex" cran = "bibtex"
url = "https://cloud.r-project.org/src/contrib/bibtex_0.4.2.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/bibtex/"
version('0.4.2.3', sha256='7bad194920b412781ac9754ad41058d52d3cd7186e1851c2bce3640490e9bc6d') version('0.4.2.3', sha256='7bad194920b412781ac9754ad41058d52d3cd7186e1851c2bce3640490e9bc6d')
version('0.4.2', sha256='1f06ab3660c940405230ad16ff6e4ba38d4418a59cd9b16d78a4349f8b488372') version('0.4.2', sha256='1f06ab3660c940405230ad16ff6e4ba38d4418a59cd9b16d78a4349f8b488372')

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@ -7,14 +7,23 @@
class RBigalgebra(RPackage): class RBigalgebra(RPackage):
"""This package provides arithmetic functions for R matrix """'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix'
and big.matrix objects.""" Objects.
homepage = "https://r-forge.r-project.org/R/?group_id=556" Provides arithmetic functions for R matrix and 'big.matrix' objects as well
url = "https://cloud.r-project.org/src/contrib/Archive/bigalgebra/bigalgebra_0.8.4.2.tar.gz" as functions for QR factorization, Cholesky factorization, General
list_url = "https://cloud.r-project.org/src/contrib/Archive/bigalgebra" eigenvalue, and Singular value decomposition (SVD). A method matrix
multiplication and an arithmetic method -for matrix addition, matrix
difference- allows for mixed type operation -a matrix class object and a
big.matrix class object- and pure type operation for two big.matrix class
objects."""
cran = "bigalgebra"
version('1.0.1', sha256='ff7e261d0aa0e0f498e926d923ac62fc5cb783fa1f74bb2ff76a09167388a9d2')
version('1.0.0', sha256='f186b603bd660be0cc5b7a52c943e23e92fef264f0bc96a8858e38df6cfc4085')
version('0.8.4.2', sha256='29962468cbfa6416f8628563d5ed8c9f76089190311ff1c618f099ee8d9eea75') version('0.8.4.2', sha256='29962468cbfa6416f8628563d5ed8c9f76089190311ff1c618f099ee8d9eea75')
depends_on('r-bigmemory@4.0.0:', type=('build', 'run')) depends_on('r-bigmemory@4.0.0:', type=('build', 'run'))
depends_on('r-bh', type=('build', 'run')) depends_on('r-bh', type=('build', 'run'))
depends_on('r-rcpp', type=('build', 'run'), when='@1.0.0:')

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@ -7,11 +7,11 @@
class RBigmemorySri(RPackage): class RBigmemorySri(RPackage):
"""This package provides a shared resource interface """A shared resource interface for Bigmemory Project packages.
for the bigmemory and synchronicity packages."""
homepage = "https://cloud.r-project.org/web/packages/bigmemory.sri/index.html" This package provides a shared resource interface for the bigmemory and
url = "https://cloud.r-project.org/src/contrib/bigmemory.sri_0.1.3.tar.gz" synchronicity packages."""
list_url = "https://cloud.r-project.org/src/contrib/Archive/bigmemory.sri"
cran = "bigmemory.sri"
version('0.1.3', sha256='55403252d8bae9627476d1f553236ea5dc7aa6e54da6980526a6cdc66924e155') version('0.1.3', sha256='55403252d8bae9627476d1f553236ea5dc7aa6e54da6980526a6cdc66924e155')

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@ -7,14 +7,14 @@
class RBigmemory(RPackage): class RBigmemory(RPackage):
"""Create, store, access, and manipulate massive matrices. """Manage Massive Matrices with Shared Memory and Memory-Mapped.
Matrices are allocated to shared memory and may use
memory-mapped files. Packages 'biganalytics', 'bigtabulate',
'synchronicity', and 'bigalgebra' provide advanced functionality."""
homepage = "https://cloud.r-project.org/web/packages/bigmemory/index.html" Files Create, store, access, and manipulate massive matrices. Matrices are
url = "https://cloud.r-project.org/src/contrib/bigmemory_4.5.36.tar.gz" allocated to shared memory and may use memory-mapped files. Packages
list_url = "https://cloud.r-project.org/src/contrib/Archive/bigmemory" 'biganalytics', 'bigtabulate', 'synchronicity', and 'bigalgebra' provide
advanced functionality."""
cran = "bigmemory"
version('4.5.36', sha256='18c67fbe6344b2f8223456c4f19ceebcf6c1166255eab81311001fd67a45ef0e') version('4.5.36', sha256='18c67fbe6344b2f8223456c4f19ceebcf6c1166255eab81311001fd67a45ef0e')

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@ -7,12 +7,12 @@
class RBindr(RPackage): class RBindr(RPackage):
"""Provides a simple interface for creating active bindings where the """Parametrized Active Bindings.
bound function accepts additional arguments."""
homepage = "https://github.com/krlmlr/bindr" Provides a simple interface for creating active bindings where the bound
url = "https://cloud.r-project.org/src/contrib/bindr_0.1.1.tar.gz" function accepts additional arguments."""
list_url = "https://cloud.r-project.org/src/contrib/Archive/bindr"
cran = "bindr"
version('0.1.1', sha256='7c785ca77ceb3ab9282148bcecf64d1857d35f5b800531d49483622fe67505d0') version('0.1.1', sha256='7c785ca77ceb3ab9282148bcecf64d1857d35f5b800531d49483622fe67505d0')
version('0.1', sha256='cca166612eeafd6e1c961b34aaf177f9b47f8b4bc37520e277b9920eaa8b2535') version('0.1', sha256='cca166612eeafd6e1c961b34aaf177f9b47f8b4bc37520e277b9920eaa8b2535')

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@ -7,12 +7,12 @@
class RBindrcpp(RPackage): class RBindrcpp(RPackage):
"""Provides an easy way to fill an environment with active bindings that """An 'Rcpp' Interface to Active Bindings.
call a C++ function."""
homepage = "https://github.com/krlmlr/bindrcpp" Provides an easy way to fill an environment with active bindings that call
url = "https://cloud.r-project.org/src/contrib/bindrcpp_0.2.tar.gz" a C++ function."""
list_url = "https://cloud.r-project.org/src/contrib/Archive/bindrcpp"
cran = "bindrcpp"
version('0.2.2', sha256='48130709eba9d133679a0e959e49a7b14acbce4f47c1e15c4ab46bd9e48ae467') version('0.2.2', sha256='48130709eba9d133679a0e959e49a7b14acbce4f47c1e15c4ab46bd9e48ae467')
version('0.2', sha256='d0efa1313cb8148880f7902a4267de1dcedae916f28d9a0ef5911f44bf103450') version('0.2', sha256='d0efa1313cb8148880f7902a4267de1dcedae916f28d9a0ef5911f44bf103450')

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@ -7,7 +7,7 @@
class RBio3d(RPackage): class RBio3d(RPackage):
"""Biological Structure Analysis """Biological Structure Analysis.
Utilities to process, organize and explore protein structure, sequence and Utilities to process, organize and explore protein structure, sequence and
dynamics data. Features include the ability to read and write structure, dynamics data. Features include the ability to read and write structure,
@ -22,10 +22,9 @@ class RBio3d(RPackage):
to work with biological sequence and structural data. Please refer to the to work with biological sequence and structural data. Please refer to the
URLs below for more information.""" URLs below for more information."""
homepage = "http://thegrantlab.org/bio3d/" cran = "bio3d"
url = "https://cloud.r-project.org/src/contrib/bio3d_2.3-4.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/bio3d"
version('2.4-2', sha256='91415766cda0f96557e6bc568dbce8d44254a9460f2e2d0beed0ce14ffad6ccb')
version('2.4-1', sha256='679fbd87fe9fb82a65427d281d3b68906509e411270cd87d2deb95d404333c1f') version('2.4-1', sha256='679fbd87fe9fb82a65427d281d3b68906509e411270cd87d2deb95d404333c1f')
version('2.3-4', sha256='f9b39ab242cbedafcd98c1732cb1f5c0dd9ef66e28be39695e3420dd93e2bafe') version('2.3-4', sha256='f9b39ab242cbedafcd98c1732cb1f5c0dd9ef66e28be39695e3420dd93e2bafe')

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@ -7,10 +7,11 @@
class RBiocmanager(RPackage): class RBiocmanager(RPackage):
"""BiocManager: Access the Bioconductor Project Package Repository""" """Access the Bioconductor Project Package Repository.
homepage = "https://cloud.r-project.org/package=BiocManager" A convenient tool to install and update Bioconductor packages."""
url = "https://cloud.r-project.org/src/contrib/BiocManager_1.30.10.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/BiocManager"
cran = "BiocManager"
version('1.30.16', sha256='75a754a55192ef6aa6ac9b054fd5381ff03fe6bb8b2e033eb8143da930ef3855')
version('1.30.10', sha256='f3b7a412b42be0ab8df5fcd9bf981876ba9e5c55bc5faaca7af7ede3b6d0c90e') version('1.30.10', sha256='f3b7a412b42be0ab8df5fcd9bf981876ba9e5c55bc5faaca7af7ede3b6d0c90e')

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@ -7,13 +7,12 @@
class RBiomUtils(RPackage): class RBiomUtils(RPackage):
"""Provides utilities to facilitate import, export and computation with """Utilities for the BIOM (Biological Observation Matrix) Format.
the BIOM (Biological Observation Matrix) format (https://biom-format.org/).
"""
homepage = "https://github.com/braithwaite/BIOM.utils/" Provides utilities to facilitate import, export and computation with the
url = "https://cloud.r-project.org/src/contrib/BIOM.utils_0.9.tar.gz" BIOM (Biological Observation Matrix) format (https://biom-format.org/)."""
list_url = "https://cloud.r-project.org/src/contrib/Archive/biom/"
cran = "BIOM.utils"
version('0.9', sha256='e7024469fb38e275aa78fbfcce15b9a7661317f632a7e9b8124695e076839375') version('0.9', sha256='e7024469fb38e275aa78fbfcce15b9a7661317f632a7e9b8124695e076839375')

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@ -7,7 +7,9 @@
class RBiomartr(RPackage): class RBiomartr(RPackage):
"""Perform large scale genomic data retrieval and functional annotation """Genomic Data Retrieval.
Perform large scale genomic data retrieval and functional annotation
retrieval. This package aims to provide users with a standardized way to retrieval. This package aims to provide users with a standardized way to
automate genome, proteome, 'RNA', coding sequence ('CDS'), 'GFF', and automate genome, proteome, 'RNA', coding sequence ('CDS'), 'GFF', and
metagenome retrieval from 'NCBI RefSeq', 'NCBI Genbank', 'ENSEMBL', metagenome retrieval from 'NCBI RefSeq', 'NCBI Genbank', 'ENSEMBL',
@ -19,9 +21,7 @@ class RBiomartr(RPackage):
Genbank' (Benson et al. (2013) <doi:10.1093/nar/gks1195>), etc. as well as Genbank' (Benson et al. (2013) <doi:10.1093/nar/gks1195>), etc. as well as
'ENSEMBL' and 'ENSEMBLGENOMES' with only one command.""" 'ENSEMBL' and 'ENSEMBLGENOMES' with only one command."""
homepage = "https://docs.ropensci.org/biomartr" cran = "biomartr"
url = "https://cloud.r-project.org/src/contrib/biomartr_0.9.2.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/biomartr"
version('0.9.2', sha256='d88085696e9c5614828602254c33f2cdd3bbfeebc2f21a705eee3cb961097c89') version('0.9.2', sha256='d88085696e9c5614828602254c33f2cdd3bbfeebc2f21a705eee3cb961097c89')

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@ -7,16 +7,14 @@
class RBit(RPackage): class RBit(RPackage):
"""Classes and Methods for Fast Memory-Efficient Boolean Selections """Classes and Methods for Fast Memory-Efficient Boolean Selections.
Provided are classes for boolean and skewed boolean vectors, fast boolean Provided are classes for boolean and skewed boolean vectors, fast boolean
methods, fast unique and non-unique integer sorting, fast set operations on methods, fast unique and non-unique integer sorting, fast set operations on
sorted and unsorted sets of integers, and foundations for ff (range index, sorted and unsorted sets of integers, and foundations for ff (range index,
compression, chunked processing).""" compression, chunked processing)."""
homepage = "https://cloud.r-project.org/package=bit" cran = "bit"
url = "https://cloud.r-project.org/src/contrib/bit_1.1-12.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/bit"
version('4.0.4', sha256='e404841fbe4ebefe4ecd4392effe673a8c9fa05f97952c4ce6e2f6159bd2f168') version('4.0.4', sha256='e404841fbe4ebefe4ecd4392effe673a8c9fa05f97952c4ce6e2f6159bd2f168')
version('1.1-14', sha256='5cbaace1fb643a665a6ca69b90f7a6d624270de82420ca7a44f306753fcef254') version('1.1-14', sha256='5cbaace1fb643a665a6ca69b90f7a6d624270de82420ca7a44f306753fcef254')

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@ -7,7 +7,7 @@
class RBit64(RPackage): class RBit64(RPackage):
"""A S3 Class for Vectors of 64bit Integers """A S3 Class for Vectors of 64bit Integers.
Package 'bit64' provides serializable S3 atomic 64bit (signed) integers. Package 'bit64' provides serializable S3 atomic 64bit (signed) integers.
These are useful for handling database keys and exact counting in +-2^63. These are useful for handling database keys and exact counting in +-2^63.
@ -21,13 +21,11 @@ class RBit64(RPackage):
active data exploration and manipulation and optionally leverage active data exploration and manipulation and optionally leverage
caching.""" caching."""
homepage = "https://cloud.r-project.org/package=bit64" cran = "bit64"
url = "https://cloud.r-project.org/src/contrib/bit64_0.9-7.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/bit64"
version('4.0.5', sha256='25df6826ea5e93241c4874cad4fa8dadc87a40f4ff74c9107aa12a9e033e1578') version('4.0.5', sha256='25df6826ea5e93241c4874cad4fa8dadc87a40f4ff74c9107aa12a9e033e1578')
version('0.9-7', sha256='7b9aaa7f971198728c3629f9ba1a1b24d53db5c7e459498b0fdf86bbd3dff61f') version('0.9-7', sha256='7b9aaa7f971198728c3629f9ba1a1b24d53db5c7e459498b0fdf86bbd3dff61f')
depends_on('r@3.0.1:', type=('build', 'run')) depends_on('r@3.0.1:', type=('build', 'run'))
depends_on('r-bit@1.1-12:', when='@:9.9-7', type=('build', 'run')) depends_on('r-bit@1.1-12:', type=('build', 'run'))
depends_on('r-bit@4.0.0:', when='@4.0.5:', type=('build', 'run')) depends_on('r-bit@4.0.0:', type=('build', 'run'), when='@4.0.5:')

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@ -8,10 +8,11 @@
class RBitops(RPackage): class RBitops(RPackage):
"""Functions for bitwise operations on integer vectors.""" """Bitwise Operations.
homepage = "https://cloud.r-project.org/package=bitops" Functions for bitwise operations on integer vectors."""
url = "https://cloud.r-project.org/src/contrib/bitops_1.0-6.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/bitops"
cran = "bitops"
version('1.0-7', sha256='e9b5fc92c39f94a10cd0e13f3d6e2a9c17b75ea01467077a51d47a5f708517c4')
version('1.0-6', sha256='9b731397b7166dd54941fb0d2eac6df60c7a483b2e790f7eb15b4d7b79c9d69c') version('1.0-6', sha256='9b731397b7166dd54941fb0d2eac6df60c7a483b2e790f7eb15b4d7b79c9d69c')

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@ -7,30 +7,37 @@
class RBlavaan(RPackage): class RBlavaan(RPackage):
"""Bayesian Latent Variable Analysis: """Bayesian Latent Variable Analysis.
Fit a variety of Bayesian latent variable models, including confirmatory Fit a variety of Bayesian latent variable models, including confirmatory factor
factor analysis, structural equation models, and latent growth curve analysis, structural equation models, and latent growth curve models.
models.""" References: Merkle & Rosseel (2018) <doi:10.18637/jss.v085.i04>; Merkle et al.
(2021) <doi:10.18637/jss.v100.i06>."""
cran = "blavaan" cran = "blavaan"
version('0.4-1', sha256='afb077d72f84ef0b6f45ef2ccb8335358042943c32a3472a9ca239ebca1c4aa4')
version('0.3-18', sha256='373960a22fc741c765e2ad2e0d99c1d4b2162f5f2a230ef314778ef8f433e865')
version('0.3-15', sha256='f73ead024bc3b65bdb0c5e5cd5458845158914eb579c07be2fd697a3573ebe6f') version('0.3-15', sha256='f73ead024bc3b65bdb0c5e5cd5458845158914eb579c07be2fd697a3573ebe6f')
depends_on('r@3.5.0:', type=('build', 'run')) depends_on('r@3.5.0:', type=('build', 'run'))
depends_on('r-lavaan@0.6-5:', type=('build', 'run')) depends_on('r-lavaan@0.6-5:', type=('build', 'run'))
depends_on('r-lavaan@0.6-7:', type=('build', 'run'), when='@0.3-18:')
depends_on('r-lavaan@0.6-10:', type=('build', 'run'), when='@0.4-1:')
depends_on('r-rcpp@0.12.15:', type=('build', 'run')) depends_on('r-rcpp@0.12.15:', type=('build', 'run'))
depends_on('r-rcppparallel@5.0.1:', type=('build', 'run'))
depends_on('r-mcmcpack', type=('build', 'run')) depends_on('r-mcmcpack', type=('build', 'run'))
depends_on('r-coda', type=('build', 'run')) depends_on('r-coda', type=('build', 'run'))
depends_on('r-mnormt', type=('build', 'run')) depends_on('r-mnormt', type=('build', 'run'))
depends_on('r-nonnest2@0.5-5:', type=('build', 'run')) depends_on('r-nonnest2@0.5-5:', type=('build', 'run'))
depends_on('r-loo@2.0:', type=('build', 'run')) depends_on('r-loo@2.0:', type=('build', 'run'))
depends_on('r-rstan@2.19.2:', type=('build', 'run')) depends_on('r-rstan@2.19.2:', type=('build', 'run'))
depends_on('r-rstan@2.21.2:', type=('build', 'run'), when='@0.3-18:')
depends_on('r-rstantools@1.5.0:', type=('build', 'run')) depends_on('r-rstantools@1.5.0:', type=('build', 'run'))
depends_on('r-rcppparallel@5.0.1:', type=('build', 'run'))
depends_on('r-bayesplot', type=('build', 'run')) depends_on('r-bayesplot', type=('build', 'run'))
depends_on('r-matrix', type=('build', 'run')) depends_on('r-matrix', type=('build', 'run'))
depends_on('r-future-apply', type=('build', 'run')) depends_on('r-future-apply', type=('build', 'run'))
depends_on('r-tmvnsim', type=('build', 'run'), when='@0.3-18:')
depends_on('r-stanheaders@2.18.1:', type=('build', 'run')) depends_on('r-stanheaders@2.18.1:', type=('build', 'run'))
depends_on('r-bh@1.69.0:', type=('build', 'run')) depends_on('r-bh@1.69.0:', type=('build', 'run'))
depends_on('r-rcppeigen@0.3.3.4.0:', type=('build', 'run')) depends_on('r-rcppeigen@0.3.3.4.0:', type=('build', 'run'))

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@ -7,14 +7,13 @@
class RBlob(RPackage): class RBlob(RPackage):
"""A Simple S3 Class for Representing Vectors of Binary Data ('BLOBS') """A Simple S3 Class for Representing Vectors of Binary Data ('BLOBS').
R's raw vector is useful for storing a single binary object. R's raw vector is useful for storing a single binary object. What if you
What if you want to put a vector of them in a data frame? The blob want to put a vector of them in a data frame? The blob package provides the
package provides the blob object, a list of raw vectors, suitable blob object, a list of raw vectors, suitable for use as a column in data
for use as a column in data frame.""" frame."""
homepage = "https://blob.tidyverse.org"
cran = "blob" cran = "blob"
version('1.2.2', sha256='4976053c65994c769a4c22b4553bea0bd9c623b3b991dbaf023d2a164770c7fa') version('1.2.2', sha256='4976053c65994c769a4c22b4553bea0bd9c623b3b991dbaf023d2a164770c7fa')
@ -22,8 +21,9 @@ class RBlob(RPackage):
version('1.2.0', sha256='1af1cfa28607bc0e2f1f01598a00a7d5d1385ef160a9e79e568f30f56538e023') version('1.2.0', sha256='1af1cfa28607bc0e2f1f01598a00a7d5d1385ef160a9e79e568f30f56538e023')
version('1.1.0', sha256='16d6603df3ddba177f0ac4d9469c938f89131c4bf8834345db838defd9ffea16') version('1.1.0', sha256='16d6603df3ddba177f0ac4d9469c938f89131c4bf8834345db838defd9ffea16')
depends_on('r-tibble', when='@:1.1.0', type=('build', 'run')) depends_on('r-rlang', type=('build', 'run'), when='@1.2.0:')
depends_on('r-prettyunits', when='@1.2.0', type=('build', 'run')) depends_on('r-vctrs@0.2.0:', type=('build', 'run'), when='@1.2.0:')
depends_on('r-rlang', when='@1.2.0:', type=('build', 'run')) depends_on('r-vctrs@0.2.1:', type=('build', 'run'), when='@1.2.1:')
depends_on('r-vctrs@0.2.0:', when='@1.2.0:', type=('build', 'run'))
depends_on('r-vctrs@0.2.1:', when='@1.2.1:', type=('build', 'run')) depends_on('r-prettyunits', type=('build', 'run'), when='@1.2.0')
depends_on('r-tibble', type=('build', 'run'), when='@:1.1.0')

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@ -7,21 +7,21 @@
class RBlockmodeling(RPackage): class RBlockmodeling(RPackage):
"""Generalized and Classical Blockmodeling of Valued Networks """Generalized and Classical Blockmodeling of Valued Networks.
This is primarily meant as an implementation of generalized blockmodeling This is primarily meant as an implementation of generalized blockmodeling
for valued networks.""" for valued networks."""
homepage = "https://cloud.r-project.org/package=blockmodeling" cran = "blockmodeling"
url = "https://cloud.r-project.org/src/contrib/blockmodeling_0.3.1.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/blockmodeling/"
version('1.0.5', sha256='18c227bb52f28aff4dae8929563474e3e006e238438c823b67dc6baa897f88ed')
version('1.0.0', sha256='f10c41fff56dc7dc46dffbceacb8ff905eca06578d610a5a590fb408f0149cfc') version('1.0.0', sha256='f10c41fff56dc7dc46dffbceacb8ff905eca06578d610a5a590fb408f0149cfc')
version('0.3.4', sha256='a269c83669dd5294cff0adddab36bc023db6a276a06b74b1fa94b7e407486987') version('0.3.4', sha256='a269c83669dd5294cff0adddab36bc023db6a276a06b74b1fa94b7e407486987')
version('0.3.1', sha256='39e8360400cec6baa920d5589d4e779568bdf2954f7331be0e3cadf22a217d31') version('0.3.1', sha256='39e8360400cec6baa920d5589d4e779568bdf2954f7331be0e3cadf22a217d31')
depends_on('r@2.10:', type=('build', 'run')) depends_on('r@2.10:', type=('build', 'run'))
depends_on('r-matrix', type=('build', 'run')) depends_on('r-matrix', type=('build', 'run'))
depends_on('r-doparallel', when='@:0.3.4', type=('build', 'run'))
depends_on('r-dorng', when='@:0.3.4', type=('build', 'run')) depends_on('r-doparallel', type=('build', 'run'), when='@:0.3.4')
depends_on('r-foreach', when='@:0.3.4', type=('build', 'run')) depends_on('r-dorng', type=('build', 'run'), when='@:0.3.4')
depends_on('r-foreach', type=('build', 'run'), when='@:0.3.4')

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@ -7,12 +7,12 @@
class RBmp(RPackage): class RBmp(RPackage):
"""Reads Windows BMP format images. Currently limited to 8 bit greyscale """Read Windows Bitmap (BMP) Images.
Reads Windows BMP format images. Currently limited to 8 bit greyscale
images and 24,32 bit (A)RGB images. Pure R implementation without external images and 24,32 bit (A)RGB images. Pure R implementation without external
dependencies.""" dependencies."""
homepage = "https://cloud.r-project.org/package=bmp" cran = "bmp"
url = "https://cloud.r-project.org/src/contrib/bmp_0.3.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/bmp"
version('0.3', sha256='bdf790249b932e80bc3a188a288fef079d218856cf64ffb88428d915423ea649') version('0.3', sha256='bdf790249b932e80bc3a188a288fef079d218856cf64ffb88428d915423ea649')

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@ -7,15 +7,14 @@
class RBookdown(RPackage): class RBookdown(RPackage):
"""Authoring Books and Technical Documents with R Markdown """Authoring Books and Technical Documents with R Markdown.
Output formats and utilities for authoring books and technical Output formats and utilities for authoring books and technical documents
documents with R Markdown.""" with R Markdown."""
homepage = "https://cloud.r-project.org/package=bookdown" cran = "bookdown"
url = "https://cloud.r-project.org/src/contrib/bookdown_0.5.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/bookdown"
version('0.24', sha256='8bead2a20542d05f643fe77a949689a17b0ae9ff23efbb918ddab47597db1be3')
version('0.21', sha256='47c0fa7a65da83753c2f445e0e972913f9203460f1daae3ab255d0d4b30eba76') version('0.21', sha256='47c0fa7a65da83753c2f445e0e972913f9203460f1daae3ab255d0d4b30eba76')
version('0.12', sha256='38eb4c5b877ccd85b16cfe74a48c3bc53de2f276da98e5515f37e7a06e065bb0') version('0.12', sha256='38eb4c5b877ccd85b16cfe74a48c3bc53de2f276da98e5515f37e7a06e065bb0')
version('0.5', sha256='b7331fd56f64bd2bddc34e2a188fc491f9ff5308f44f7e3151721247f21ca67e') version('0.5', sha256='b7331fd56f64bd2bddc34e2a188fc491f9ff5308f44f7e3151721247f21ca67e')
@ -23,11 +22,15 @@ class RBookdown(RPackage):
depends_on('r+X', type=('build', 'run')) depends_on('r+X', type=('build', 'run'))
depends_on('r-htmltools@0.3.6:', type=('build', 'run')) depends_on('r-htmltools@0.3.6:', type=('build', 'run'))
depends_on('r-knitr@1.22:', type=('build', 'run')) depends_on('r-knitr@1.22:', type=('build', 'run'))
depends_on('r-rmarkdown@1.12:', when='@:0.12', type=('build', 'run')) depends_on('r-knitr@1.31:', type=('build', 'run'), when='@0.24:')
depends_on('r-rmarkdown@2.4:', when='@0.21:', type=('build', 'run')) depends_on('r-rmarkdown@1.12:', type=('build', 'run'))
depends_on('r-xfun@0.6:', when='@:0.12', type=('build', 'run')) depends_on('r-rmarkdown@2.4:', type=('build', 'run'), when='@0.21:')
depends_on('r-xfun@0.13:', when='@0.21:', type=('build', 'run')) depends_on('r-rmarkdown@2.9:', type=('build', 'run'), when='@0.24:')
depends_on('r-tinytex@0.12:', when='@0.12:', type=('build', 'run')) depends_on('r-jquerylib', type=('build', 'run'), when='@0.24:')
depends_on('r-yaml@2.1.14:', when='@:0.12', type=('build', 'run')) depends_on('r-xfun@0.6:', type=('build', 'run'))
depends_on('r-yaml@2.1.19:', when='@0.21:', type=('build', 'run')) depends_on('r-xfun@0.13:', type=('build', 'run'), when='@0.21:')
depends_on('r-xfun@0.22:', type=('build', 'run'), when='@0.24:')
depends_on('r-tinytex@0.12:', type=('build', 'run'), when='@0.12:')
depends_on('r-yaml@2.1.14:', type=('build', 'run'))
depends_on('r-yaml@2.1.19:', type=('build', 'run'), when='@0.21:')
depends_on('pandoc@1.17.2:') depends_on('pandoc@1.17.2:')

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@ -7,15 +7,13 @@
class RBoot(RPackage): class RBoot(RPackage):
"""Bootstrap Functions (Originally by Angelo Canty for S) """Bootstrap Functions (Originally by Angelo Canty for S).
Functions and datasets for bootstrapping from the book "Bootstrap Functions and datasets for bootstrapping from the book "Bootstrap Methods
Methods and Their Application" by A. C. Davison and D. V. Hinkley (1997, and Their Application" by A. C. Davison and D. V. Hinkley (1997, CUP),
CUP), originally written by Angelo Canty for S.""" originally written by Angelo Canty for S."""
homepage = "https://cloud.r-project.org/package=boot" cran = "boot"
url = "https://cloud.r-project.org/src/contrib/boot_1.3-18.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/boot"
version('1.3-28', sha256='9f7158fd2714659f590c3955651893dc24bd8f39196bc5a4cc35b0b031744a32') version('1.3-28', sha256='9f7158fd2714659f590c3955651893dc24bd8f39196bc5a4cc35b0b031744a32')
version('1.3-25', sha256='464835fcb453072346ce49e4ae318e04c9dba682349be49db616623b6088fbbe') version('1.3-25', sha256='464835fcb453072346ce49e4ae318e04c9dba682349be49db616623b6088fbbe')

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@ -7,15 +7,13 @@
class RBoruta(RPackage): class RBoruta(RPackage):
"""An all relevant feature selection wrapper algorithm. It finds """Wrapper Algorithm for All Relevant Feature Selection.
relevant features by comparing original attributes' importance
with importance achievable at random, estimated using their
permuted copies (shadows).
"""
homepage = "https://cloud.r-project.org/package=Boruta" An all relevant feature selection wrapper algorithm. It finds relevant
url = "https://cloud.r-project.org/src/contrib/Boruta_7.0.0.tar.gz" features by comparing original attributes' importance with importance
list_url = "https://cloud.r-project.org/src/contrib/Archive/Boruta" achievable at random, estimated using their permuted copies (shadows)."""
cran = "Boruta"
version('7.0.0', sha256='6ff520d27d68637058c33a34c547a656bb44d5e351b7cc7afed6cd4216275c78') version('7.0.0', sha256='6ff520d27d68637058c33a34c547a656bb44d5e351b7cc7afed6cd4216275c78')
version('6.0.0', sha256='1c9a7aabe09f040e147f6c614f5fe1d0b951d3b0f0024161fbb4c31da8fae8de') version('6.0.0', sha256='1c9a7aabe09f040e147f6c614f5fe1d0b951d3b0f0024161fbb4c31da8fae8de')

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@ -7,12 +7,12 @@
class RBrew(RPackage): class RBrew(RPackage):
"""brew implements a templating framework for mixing text and R code for """Templating Framework for Report Generation.
Brew implements a templating framework for mixing text and R code for
report generation. brew template syntax is similar to PHP, Ruby's erb report generation. brew template syntax is similar to PHP, Ruby's erb
module, Java Server Pages, and Python's psp module.""" module, Java Server Pages, and Python's psp module."""
homepage = "https://cloud.r-project.org/package=brew" cran = "brew"
url = "https://cloud.r-project.org/src/contrib/brew_1.0-6.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/brew"
version('1.0-6', sha256='d70d1a9a01cf4a923b4f11e4374ffd887ad3ff964f35c6f9dc0f29c8d657f0ed') version('1.0-6', sha256='d70d1a9a01cf4a923b4f11e4374ffd887ad3ff964f35c6f9dc0f29c8d657f0ed')

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@ -7,7 +7,7 @@
class RBridgesampling(RPackage): class RBridgesampling(RPackage):
"""Bridge Sampling for Marginal Likelihoods and Bayes Factors: """Bridge Sampling for Marginal Likelihoods and Bayes Factors.
Provides functions for estimating marginal likelihoods, Bayes factors, Provides functions for estimating marginal likelihoods, Bayes factors,
posterior model probabilities, and normalizing constants in general, via posterior model probabilities, and normalizing constants in general, via
@ -15,8 +15,7 @@ class RBridgesampling(RPackage):
<http://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm>). Gronau, <http://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm>). Gronau,
Singmann, & Wagenmakers (2020) <doi:10.18637/jss.v092.i10>.""" Singmann, & Wagenmakers (2020) <doi:10.18637/jss.v092.i10>."""
homepage = "https://github.com/quentingronau/bridgesampling" cran = "bridgesampling"
cran = "bridgesampling"
version('1.1-2', sha256='54ecd39aa2e36d4d521d3d36425f9fe56a3f8547df6048c814c5931d790f3e6b') version('1.1-2', sha256='54ecd39aa2e36d4d521d3d36425f9fe56a3f8547df6048c814c5931d790f3e6b')

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@ -7,13 +7,12 @@
class RBrio(RPackage): class RBrio(RPackage):
"""Basic R Input Output """Basic R Input Output.
Functions to handle basic input output, these functions always read and Functions to handle basic input output, these functions always read and
write UTF-8 (8-bit Unicode Transformation Format) files and provide more write UTF-8 (8-bit Unicode Transformation Format) files and provide more
explicit control over line endings.""" explicit control over line endings."""
homepage = "https://github.com/r-lib/brio"
cran = "brio" cran = "brio"
version('1.1.3', sha256='eaa89041856189bee545bf1c42c7920a0bb0f1f70bb477487c467ee3e8fedcc6') version('1.1.3', sha256='eaa89041856189bee545bf1c42c7920a0bb0f1f70bb477487c467ee3e8fedcc6')

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@ -7,7 +7,7 @@
class RBrms(RPackage): class RBrms(RPackage):
"""Bayesian Regression Models using 'Stan': """Bayesian Regression Models using 'Stan'.
Fit Bayesian generalized (non-)linear multivariate multilevel models using Fit Bayesian generalized (non-)linear multivariate multilevel models using
'Stan' for full Bayesian inference. A wide range of distributions and link 'Stan' for full Bayesian inference. A wide range of distributions and link
@ -25,8 +25,7 @@ class RBrms(RPackage):
<doi:10.18637/jss.v080.i01>; Burkner (2018) <doi:10.32614/RJ-2018-017>; <doi:10.18637/jss.v080.i01>; Burkner (2018) <doi:10.32614/RJ-2018-017>;
Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.""" Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>."""
homepage = "https://github.com/paul-buerkner/brms" cran = "brms"
cran = "brms"
version('2.16.3', sha256='68302b10b5264f72d163d01c17792c002306cf37f0ee778dcec4c7e118f923e1') version('2.16.3', sha256='68302b10b5264f72d163d01c17792c002306cf37f0ee778dcec4c7e118f923e1')
version('2.16.1', sha256='749efbd9fb061fe207cf2e729c1387d9a8538b922f12ceec4e82a9f8dd9c1bc4') version('2.16.1', sha256='749efbd9fb061fe207cf2e729c1387d9a8538b922f12ceec4e82a9f8dd9c1bc4')
@ -37,13 +36,12 @@ class RBrms(RPackage):
depends_on('r-rstan@2.19.2:', type=('build', 'run')) depends_on('r-rstan@2.19.2:', type=('build', 'run'))
depends_on('r-ggplot2@2.0.0:', type=('build', 'run')) depends_on('r-ggplot2@2.0.0:', type=('build', 'run'))
depends_on('r-loo@2.3.1:', type=('build', 'run')) depends_on('r-loo@2.3.1:', type=('build', 'run'))
depends_on('r-posterior@1.0.0:', when='@2.16:', type=('build', 'run')) depends_on('r-posterior@1.0.0:', type=('build', 'run'), when='@2.16:')
depends_on('r-matrix@1.1.1:', type=('build', 'run')) depends_on('r-matrix@1.1.1:', type=('build', 'run'))
depends_on('r-mgcv@1.8-13:', type=('build', 'run')) depends_on('r-mgcv@1.8-13:', type=('build', 'run'))
depends_on('r-rstantools@2.1.1:', type=('build', 'run')) depends_on('r-rstantools@2.1.1:', type=('build', 'run'))
depends_on('r-bayesplot@1.5.0:', type=('build', 'run')) depends_on('r-bayesplot@1.5.0:', type=('build', 'run'))
depends_on('r-shinystan@2.4.0:', type=('build', 'run')) depends_on('r-shinystan@2.4.0:', type=('build', 'run'))
depends_on('r-projpred@2.0.0:', when='@:2.16.1', type=('build', 'run'))
depends_on('r-bridgesampling@0.3-0:', type=('build', 'run')) depends_on('r-bridgesampling@0.3-0:', type=('build', 'run'))
depends_on('r-glue@1.3.0:', type=('build', 'run')) depends_on('r-glue@1.3.0:', type=('build', 'run'))
depends_on('r-future@1.19.0:', type=('build', 'run')) depends_on('r-future@1.19.0:', type=('build', 'run'))
@ -53,3 +51,5 @@ class RBrms(RPackage):
depends_on('r-coda', type=('build', 'run')) depends_on('r-coda', type=('build', 'run'))
depends_on('r-abind', type=('build', 'run')) depends_on('r-abind', type=('build', 'run'))
depends_on('r-backports', type=('build', 'run')) depends_on('r-backports', type=('build', 'run'))
depends_on('r-projpred@2.0.0:', type=('build', 'run'), when='@:2.16.1')

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@ -7,14 +7,13 @@
class RBrobdingnag(RPackage): class RBrobdingnag(RPackage):
"""Very Large Numbers in R: """Very Large Numbers in R.
Handles very large numbers in R. Real numbers are held using their natural Handles very large numbers in R. Real numbers are held using their natural
logarithms, plus a logical flag indicating sign. The package includes a logarithms, plus a logical flag indicating sign. The package includes a
vignette that gives a step-by-step introduction to using S4 methods.""" vignette that gives a step-by-step introduction to using S4 methods."""
homepage = "https://github.com/RobinHankin/Brobdingnag.git" cran = "Brobdingnag"
cran = "Brobdingnag"
version('1.2-6', sha256='19eccaed830ce9d93b70642f6f126ac66722a98bbd48586899cc613dd9966ad4') version('1.2-6', sha256='19eccaed830ce9d93b70642f6f126ac66722a98bbd48586899cc613dd9966ad4')

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@ -7,7 +7,7 @@
class RBroom(RPackage): class RBroom(RPackage):
"""Convert Statistical Objects into Tidy Tibbles """Convert Statistical Objects into Tidy Tibbles.
Summarizes key information about statistical objects in tidy tibbles. This Summarizes key information about statistical objects in tidy tibbles. This
makes it easy to report results, create plots and consistently work with makes it easy to report results, create plots and consistently work with
@ -18,9 +18,10 @@ class RBroom(RPackage):
measures like AIC and BIC. augment() adds information about individual measures like AIC and BIC. augment() adds information about individual
observations to a dataset, such as fitted values or influence measures.""" observations to a dataset, such as fitted values or influence measures."""
homepage = "https://github.com/tidyverse/broom"
cran = "broom" cran = "broom"
version('0.7.12', sha256='04fac12b2546689603a474fb92a0572f4241ae87b51b21b0808814a489227bd9')
version('0.7.11', sha256='9e3999d2635ac72e8f4c3a81decd50ee5d464c001c155375b5a970a629ba2e19')
version('0.7.10', sha256='129fd5a53abef7f42b7efac6c64ebd71269b136aa648846d640562357927464f') version('0.7.10', sha256='129fd5a53abef7f42b7efac6c64ebd71269b136aa648846d640562357927464f')
version('0.7.9', sha256='1d5695f97b378b2b77fb8f64a4a54b72b278913d4adf9d61a7ca4f38a1c7c5fc') version('0.7.9', sha256='1d5695f97b378b2b77fb8f64a4a54b72b278913d4adf9d61a7ca4f38a1c7c5fc')
version('0.7.3', sha256='de5650e46ca6884876b63bc401d22bef9eace671147774466406d43324aebc2f') version('0.7.3', sha256='de5650e46ca6884876b63bc401d22bef9eace671147774466406d43324aebc2f')
@ -29,22 +30,22 @@ class RBroom(RPackage):
version('0.4.2', sha256='9f409413623cf25e7110452e6215353af5114f7044d73af182bd6c10971c5a44') version('0.4.2', sha256='9f409413623cf25e7110452e6215353af5114f7044d73af182bd6c10971c5a44')
depends_on('r@3.1:', type=('build', 'run')) depends_on('r@3.1:', type=('build', 'run'))
depends_on('r-backports', when='@0.5.0:', type=('build', 'run')) depends_on('r-backports', type=('build', 'run'), when='@0.5.0:')
depends_on('r-dplyr', type=('build', 'run')) depends_on('r-dplyr', type=('build', 'run'))
depends_on('r-dplyr@1.0.0:', when='@0.7.3:', type=('build', 'run')) depends_on('r-dplyr@1.0.0:', type=('build', 'run'), when='@0.7.3:')
depends_on('r-ellipsis', when='@0.7.3:', type=('build', 'run')) depends_on('r-ellipsis', type=('build', 'run'), when='@0.7.3:')
depends_on('r-generics@0.0.2:', when='@0.5.1:', type=('build', 'run')) depends_on('r-generics@0.0.2:', type=('build', 'run'), when='@0.5.1:')
depends_on('r-glue', when='@0.7.3:', type=('build', 'run')) depends_on('r-glue', type=('build', 'run'), when='@0.7.3:')
depends_on('r-purrr', when='@0.5.0:', type=('build', 'run')) depends_on('r-purrr', type=('build', 'run'), when='@0.5.0:')
depends_on('r-rlang', when='@0.7.3:', type=('build', 'run')) depends_on('r-rlang', type=('build', 'run'), when='@0.7.3:')
depends_on('r-stringr', type=('build', 'run')) depends_on('r-stringr', type=('build', 'run'))
depends_on('r-tibble', when='@0.5.0:', type=('build', 'run')) depends_on('r-tibble', type=('build', 'run'), when='@0.5.0:')
depends_on('r-tibble@3.0.0:', when='@0.7.3:', type=('build', 'run')) depends_on('r-tibble@3.0.0:', type=('build', 'run'), when='@0.7.3:')
depends_on('r-tidyr', type=('build', 'run')) depends_on('r-tidyr', type=('build', 'run'))
depends_on('r-tidyr@1.0.0:', when='@0.7.3:', type=('build', 'run')) depends_on('r-tidyr@1.0.0:', type=('build', 'run'), when='@0.7.3:')
depends_on('r-ggplot2', when='@0.7.10:', type=('build', 'run')) depends_on('r-ggplot2', type=('build', 'run'), when='@0.7.10:')
depends_on('r-plyr', when='@:0.4.2', type=('build', 'run')) depends_on('r-plyr', type=('build', 'run'), when='@:0.4.2')
depends_on('r-psych', when='@:0.4.2', type=('build', 'run')) depends_on('r-psych', type=('build', 'run'), when='@:0.4.2')
depends_on('r-reshape2', when='@:0.5.2', type=('build', 'run')) depends_on('r-reshape2', type=('build', 'run'), when='@:0.5.2')
depends_on('r-nlme', when='@:0.5.2', type=('build', 'run')) depends_on('r-nlme', type=('build', 'run'), when='@:0.5.2')

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@ -0,0 +1,26 @@
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class RBslib(RPackage):
"""Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown'.
Simplifies custom 'CSS' styling of both 'shiny' and 'rmarkdown' via
'Bootstrap' 'Sass'. Supports both 'Bootstrap' 3 and 4 as well as their
various 'Bootswatch' themes. An interactive widget is also provided for
previewing themes in real time."""
cran = "bslib"
version('0.3.1', sha256='5f5cb56e5cab9039a24cd9d70d73b69c2cab5b2f5f37afc15f71dae0339d9849')
depends_on('r@2.10:', type=('build', 'run'))
depends_on('r-htmltools@0.5.2:', type=('build', 'run'))
depends_on('r-jsonlite', type=('build', 'run'))
depends_on('r-sass@0.4.0:', type=('build', 'run'))
depends_on('r-jquerylib@0.1.3:', type=('build', 'run'))
depends_on('r-rlang', type=('build', 'run'))

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@ -8,15 +8,14 @@
class RC50(RPackage): class RC50(RPackage):
"""C5.0 Decision Trees and Rule-Based Models """C5.0 Decision Trees and Rule-Based Models.
C5.0 decision trees and rule-based models for pattern recognition that C5.0 decision trees and rule-based models for pattern recognition that
extend the work of Quinlan (1993, ISBN:1-55860-238-0).""" extend the work of Quinlan (1993, ISBN:1-55860-238-0)."""
homepage = "https://cloud.r-project.org/package=C50" cran = "C50"
url = "https://cloud.r-project.org/src/contrib/C50_0.1.0-24.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/C50"
version('0.1.5', sha256='f0c17b4830371832ca64f5fcc702351a394ee90b384e0865307de9447f3f16d7')
version('0.1.3.1', sha256='0b151ba8deef50ab2e2ad8469d87f54f0c6ab862f5c790ed8bb16cb3b8027546') version('0.1.3.1', sha256='0b151ba8deef50ab2e2ad8469d87f54f0c6ab862f5c790ed8bb16cb3b8027546')
version('0.1.2', sha256='8f459856e0309274bee24462b7145db4eba1d71031c236db39000a5375bdfaba') version('0.1.2', sha256='8f459856e0309274bee24462b7145db4eba1d71031c236db39000a5375bdfaba')
version('0.1.1', sha256='03bc1fc2f64bcd5c680568a24902deafab1965074a66f8802bc4cd0335bd01df') version('0.1.1', sha256='03bc1fc2f64bcd5c680568a24902deafab1965074a66f8802bc4cd0335bd01df')
@ -24,5 +23,6 @@ class RC50(RPackage):
depends_on('r@2.10.0:', type=('build', 'run')) depends_on('r@2.10.0:', type=('build', 'run'))
depends_on('r-partykit', type=('build', 'run')) depends_on('r-partykit', type=('build', 'run'))
depends_on('r-cubist@0.2.1:', when='@:0.1.2', type=('build', 'run')) depends_on('r-cubist@0.2.1:', type=('build', 'run'))
depends_on('r-cubist@0.2.3:', when='@0.1.3.1:', type=('build', 'run')) depends_on('r-cubist@0.2.3:', type=('build', 'run'), when='@0.1.3.1:')
depends_on('r-cubist@0.3.0:', type=('build', 'run'), when='@0.1.5:')

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@ -8,14 +8,12 @@
class RCa(RPackage): class RCa(RPackage):
"""Simple, Multiple and Joint Correspondence Analysis """Simple, Multiple and Joint Correspondence Analysis.
Computation and visualization of simple, multiple and joint Computation and visualization of simple, multiple and joint correspondence
correspondence analysis.""" analysis."""
homepage = "http://www.carme-n.org/?sec=ca" cran = "ca"
url = "https://cloud.r-project.org/src/contrib/ca_0.71.1.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/ca"
version('0.71.1', sha256='040c2fc94c356075f116cc7cd880530b3c9e02206c0035182c03a525ee99b424') version('0.71.1', sha256='040c2fc94c356075f116cc7cd880530b3c9e02206c0035182c03a525ee99b424')

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@ -0,0 +1,21 @@
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class RCachem(RPackage):
"""Cache R Objects with Automatic Pruning.
Key-value stores with automatic pruning. Caches can limit either their
total size or the age of the oldest object (or both), automatically pruning
objects to maintain the constraints."""
cran = "cachem"
version('1.0.6', sha256='9a9452f7bcf3f79436c418b3c3290449fb8fd338714d9b992153754d112f1864')
depends_on('r-rlang', type=('build', 'run'))
depends_on('r-fastmap', type=('build', 'run'))

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@ -9,7 +9,7 @@
class RCairo(RPackage): class RCairo(RPackage):
"""R graphics device using cairo graphics library for creating high-quality """R graphics device using cairo graphics library for creating high-quality
bitmap (PNG, JPEG, TIFF), vector (PDF, SVG, PostScript) and display (X11 bitmap (PNG, JPEG, TIFF), vector (PDF, SVG, PostScript) and display (X11
and Win32) output and Win32) output.
R graphics device using cairographics library that can be used to create R graphics device using cairographics library that can be used to create
high-quality vector (PDF, PostScript and SVG) and bitmap output high-quality vector (PDF, PostScript and SVG) and bitmap output
@ -23,10 +23,9 @@ class RCairo(RPackage):
support or anti-aliasing. Backends are modular such that any subset of support or anti-aliasing. Backends are modular such that any subset of
backends is supported.""" backends is supported."""
homepage = "https://cloud.r-project.org/package=Cairo" cran = "Cairo"
url = "https://cloud.r-project.org/src/contrib/Cairo_1.5-9.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/Cairo"
version('1.5-14', sha256='067751face3b5771e72f9fb49bfeefb3a7bbecc060b672ab4393cb5935204c7b')
version('1.5-12.2', sha256='dd524105c83b82b5c3b3ee2583ef90d4cafa54b0c29817dac48b425b79f90f92') version('1.5-12.2', sha256='dd524105c83b82b5c3b3ee2583ef90d4cafa54b0c29817dac48b425b79f90f92')
version('1.5-10', sha256='7837f0c384cd49bb3342cb39a916d7a80b02fffbf123913a58014e597f69b5d5') version('1.5-10', sha256='7837f0c384cd49bb3342cb39a916d7a80b02fffbf123913a58014e597f69b5d5')
version('1.5-9', sha256='2a867b6cae96671d6bc3acf9334d6615dc01f6ecf1953a27cde8a43c724a38f4') version('1.5-9', sha256='2a867b6cae96671d6bc3acf9334d6615dc01f6ecf1953a27cde8a43c724a38f4')

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@ -7,13 +7,12 @@
class RCallr(RPackage): class RCallr(RPackage):
"""Call R from R """Call R from R.
It is sometimes useful to perform a computation in a separate R process, It is sometimes useful to perform a computation in a separate R process,
without affecting the current R process at all. This packages does exactly without affecting the current R process at all. This packages does exactly
that.""" that."""
homepage = "https://github.com/MangoTheCat/callr"
cran = "callr" cran = "callr"
version('3.7.0', sha256='d67255148595c6d0ba4c4d241bc9f6b5e00cafe25fdc13e38c10acc38653360a') version('3.7.0', sha256='d67255148595c6d0ba4c4d241bc9f6b5e00cafe25fdc13e38c10acc38653360a')
@ -24,6 +23,6 @@ class RCallr(RPackage):
version('3.0.0', sha256='e36361086c65660a6ecbbc09b5ecfcddee6b59caf75e983e48b21d3b8defabe7') version('3.0.0', sha256='e36361086c65660a6ecbbc09b5ecfcddee6b59caf75e983e48b21d3b8defabe7')
version('1.0.0', sha256='2c56808c723aba2ea8a8b6bbdc9b8332c96f59b119079861dd52f5988c27f715') version('1.0.0', sha256='2c56808c723aba2ea8a8b6bbdc9b8332c96f59b119079861dd52f5988c27f715')
depends_on('r-processx@3.4.0:', when='@3.0.0:', type=('build', 'run')) depends_on('r-processx@3.4.0:', type=('build', 'run'), when='@3.0.0:')
depends_on('r-processx@3.5.0:', when='@3.6.0:', type=('build', 'run')) depends_on('r-processx@3.5.0:', type=('build', 'run'), when='@3.6.0:')
depends_on('r-r6', when='@3.0.0:', type=('build', 'run')) depends_on('r-r6', type=('build', 'run'), when='@3.0.0:')

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@ -7,12 +7,11 @@
class RCar(RPackage): class RCar(RPackage):
"""Companion to Applied Regression """Companion to Applied Regression.
Functions and Datasets to Accompany J. Fox and S. Weisberg, An R Functions and Datasets to Accompany J. Fox and S. Weisberg, An R Companion
Companion to Applied Regression, Second Edition, Sage, 2011.""" to Applied Regression, Second Edition, Sage, 2011."""
homepage = "https://r-forge.r-project.org/projects/car/"
cran = "car" cran = "car"
version('3.0-12', sha256='b899a6efae3842a90a2349d381dbcf4b4ed36bd03108ebe7380e81120e457302') version('3.0-12', sha256='b899a6efae3842a90a2349d381dbcf4b4ed36bd03108ebe7380e81120e457302')
@ -23,17 +22,17 @@ class RCar(RPackage):
version('2.1-4', sha256='fd39cf1750cb560a66623fea3fa9e6a94fc24e3dc36367aff24df7d0743edb28') version('2.1-4', sha256='fd39cf1750cb560a66623fea3fa9e6a94fc24e3dc36367aff24df7d0743edb28')
version('2.1-2', sha256='8cc3e57f172c8782a08960b508906d3201596a21f4b6c1dab8d4e59353093652') version('2.1-2', sha256='8cc3e57f172c8782a08960b508906d3201596a21f4b6c1dab8d4e59353093652')
depends_on('r@3.2.0:', when='@:3.0-2', type=('build', 'run')) depends_on('r@3.2.0:', type=('build', 'run'))
depends_on('r@3.5.0:', when='@3.0-3:', type=('build', 'run')) depends_on('r@3.5.0:', type=('build', 'run'), when='@3.0-3:')
depends_on('r-cardata@3.0-0:', when='@3.0:', type=('build', 'run')) depends_on('r-cardata@3.0-0:', type=('build', 'run'), when='@3.0:')
depends_on('r-abind', when='@3.0:', type=('build', 'run')) depends_on('r-abind', type=('build', 'run'), when='@3.0:')
depends_on('r-mass', type=('build', 'run')) depends_on('r-mass', type=('build', 'run'))
depends_on('r-mgcv', type=('build', 'run')) depends_on('r-mgcv', type=('build', 'run'))
depends_on('r-nnet', type=('build', 'run')) depends_on('r-nnet', type=('build', 'run'))
depends_on('r-pbkrtest@0.4-4:', type=('build', 'run')) depends_on('r-pbkrtest@0.4-4:', type=('build', 'run'))
depends_on('r-quantreg', type=('build', 'run')) depends_on('r-quantreg', type=('build', 'run'))
depends_on('r-maptools', when='@3.0:', type=('build', 'run')) depends_on('r-maptools', type=('build', 'run'), when='@3.0:')
depends_on('r-rio', when='@3.0:3.0-11', type=('build', 'run')) depends_on('r-rio', type=('build', 'run'), when='@3.0:3.0-11')
depends_on('r-lme4@1.1-27.1:', when='@3.0-11:', type=('build', 'run')) depends_on('r-lme4@1.1-27.1:', type=('build', 'run'), when='@3.0-11:')
depends_on('r-lme4', when='@3.0:', type=('build', 'run')) depends_on('r-lme4', type=('build', 'run'), when='@3.0:')
depends_on('r-nlme', when='@3.0:', type=('build', 'run')) depends_on('r-nlme', type=('build', 'run'), when='@3.0:')

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@ -7,19 +7,19 @@
class RCaracas(RPackage): class RCaracas(RPackage):
"""Computer Algebra """Computer Algebra.
Computer algebra via the 'SymPy' library (<https://www.sympy.org/>). This Computer algebra via the 'SymPy' library (<https://www.sympy.org/>). This
makes it possible to solve equations symbolically, find symbolic integrals, makes it possible to solve equations symbolically, find symbolic integrals,
symbolic sums and other important quantities.""" symbolic sums and other important quantities."""
homepage = "https://cloud.r-project.org/package=caracas" cran = "caracas"
url = "https://cloud.r-project.org/src/contrib/caracas_1.0.0.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/caracas"
version('1.1.1', sha256='e14487c9492417cf5c7d7373c37dbb4fea4d91180a1a03154e51eaa7878b2769')
version('1.0.1', sha256='2482dd7b77791243b8174cb41b80b735c3ebd7db837bbf991127514f492af594') version('1.0.1', sha256='2482dd7b77791243b8174cb41b80b735c3ebd7db837bbf991127514f492af594')
version('1.0.0', sha256='0da6f1d94d1dacb1c11a3635bdff8f7cd8f84373deffa7126636d0876d48e42b') version('1.0.0', sha256='0da6f1d94d1dacb1c11a3635bdff8f7cd8f84373deffa7126636d0876d48e42b')
depends_on('r@3.0:', type=('build', 'run')) depends_on('r@3.0:', type=('build', 'run'))
depends_on('r-reticulate@1.14:', type=('build', 'run')) depends_on('r-reticulate@1.14:', type=('build', 'run'))
depends_on('r-magrittr', type=('build', 'run'), when='@1.1.1:')
depends_on('python@3.6:', type=('build', 'run')) depends_on('python@3.6:', type=('build', 'run'))

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@ -7,17 +7,16 @@
class RCardata(RPackage): class RCardata(RPackage):
"""Companion to Applied Regression Data Sets """Companion to Applied Regression Data Sets.
Datasets to Accompany J. Fox and S. Weisberg, An R Companion to Applied Datasets to Accompany J. Fox and S. Weisberg, An R Companion to Applied
Regression, Third Edition, Sage (2019).""" Regression, Third Edition, Sage (2019)."""
homepage = "https://r-forge.r-project.org/projects/car/" cran = "carData"
url = "https://cloud.r-project.org/src/contrib/carData_3.0-2.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/carData"
version('3.0-5', sha256='02e77159b33e3afb8cd9cfab11cf5a996a93175f924b07d991ce44bc6e16451a')
version('3.0-4', sha256='cda6f5e3efc1d955a4a0625e9c33f90d49f5455840e88b3bd757129b86044724') version('3.0-4', sha256='cda6f5e3efc1d955a4a0625e9c33f90d49f5455840e88b3bd757129b86044724')
version('3.0-2', sha256='3b5c4eff1cc1e456a5331084774503eaa06cf61fb7acf6b9e8a6bfabd5735494') version('3.0-2', sha256='3b5c4eff1cc1e456a5331084774503eaa06cf61fb7acf6b9e8a6bfabd5735494')
depends_on('r@3.0:', type=('build', 'run')) depends_on('r@3.0:', type=('build', 'run'))
depends_on('r@3.5:', when='@3.0-4:', type=('build', 'run')) depends_on('r@3.5:', type=('build', 'run'), when='@3.0-4:')

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@ -7,15 +7,14 @@
class RCaret(RPackage): class RCaret(RPackage):
"""Classification and Regression Training """Classification and Regression Training.
Misc functions for training and plotting classification and regression Misc functions for training and plotting classification and regression
models.""" models."""
homepage = "https://github.com/topepo/caret/" cran = "caret"
url = "https://cloud.r-project.org/src/contrib/caret_6.0-73.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/caret"
version('6.0-90', sha256='e851a4ed7d939c665e57e3551a5464b09fe4285e7c951236efdd890b0da866bc')
version('6.0-86', sha256='da4a1c7c3fbf645c5b02871e563a77404622b83623f0d1c5dc1425de7aa4ce37') version('6.0-86', sha256='da4a1c7c3fbf645c5b02871e563a77404622b83623f0d1c5dc1425de7aa4ce37')
version('6.0-84', sha256='a1831c086a9c71b469f7405649ba04517683cdf229e119c005189cf57244090d') version('6.0-84', sha256='a1831c086a9c71b469f7405649ba04517683cdf229e119c005189cf57244090d')
version('6.0-83', sha256='9bde5e4da1f0b690bfe06c2439c0136504e851a8d360bf56b644f171fe20dcef') version('6.0-83', sha256='9bde5e4da1f0b690bfe06c2439c0136504e851a8d360bf56b644f171fe20dcef')
@ -23,17 +22,19 @@ class RCaret(RPackage):
version('6.0-70', sha256='21c5bdf7cf07bece38729465366564d8ca104c2466ee9fd800ca1fd88eb82f38') version('6.0-70', sha256='21c5bdf7cf07bece38729465366564d8ca104c2466ee9fd800ca1fd88eb82f38')
depends_on('r@2.10:', type=('build', 'run')) depends_on('r@2.10:', type=('build', 'run'))
depends_on('r@3.2.0:', when='@6.0-82:', type=('build', 'run')) depends_on('r@3.2.0:', type=('build', 'run'), when='@6.0-82:')
depends_on('r-lattice@0.20:', type=('build', 'run'))
depends_on('r-ggplot2', type=('build', 'run')) depends_on('r-ggplot2', type=('build', 'run'))
depends_on('r-lattice@0.20:', type=('build', 'run'))
depends_on('r-e1071', type=('build', 'run'), when='@6.0-90:')
depends_on('r-foreach', type=('build', 'run')) depends_on('r-foreach', type=('build', 'run'))
depends_on('r-plyr', type=('build', 'run'))
depends_on('r-modelmetrics@1.1.0:', type=('build', 'run')) depends_on('r-modelmetrics@1.1.0:', type=('build', 'run'))
depends_on('r-modelmetrics@1.2.2.2:', when='@6.0-86:', type=('build', 'run')) depends_on('r-modelmetrics@1.2.2.2:', type=('build', 'run'), when='@6.0-86:')
depends_on('r-nlme', type=('build', 'run')) depends_on('r-nlme', type=('build', 'run'))
depends_on('r-plyr', type=('build', 'run'))
depends_on('r-proc', type=('build', 'run'), when='@6.0-86:')
depends_on('r-recipes@0.1.4:', type=('build', 'run'), when='@6.0-83:6.0-84')
depends_on('r-recipes@0.1.10:', type=('build', 'run'), when='@6.0-86:')
depends_on('r-reshape2', type=('build', 'run')) depends_on('r-reshape2', type=('build', 'run'))
depends_on('r-recipes@0.1.4:', when='@6.0-83:6.0-84', type=('build', 'run')) depends_on('r-withr@2.0.0:', type=('build', 'run'), when='@6.0-83:')
depends_on('r-recipes@0.1.10:', when='@6.0-86:', type=('build', 'run'))
depends_on('r-withr@2.0.0:', when='@6.0-83:', type=('build', 'run')) depends_on('r-car', type=('build', 'run'), when='@:6.0-73')
depends_on('r-proc', when='@6.0-86:', type=('build', 'run'))
depends_on('r-car', when='@:6.0-73', type=('build', 'run'))

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@ -7,7 +7,7 @@
class RCaretensemble(RPackage): class RCaretensemble(RPackage):
"""caretEnsemble: Ensembles of Caret Models """Ensembles of Caret Models.
Functions for creating ensembles of caret models: caretList() and Functions for creating ensembles of caret models: caretList() and
caretStack(). caretList() is a convenience function for fitting multiple caretStack(). caretList() is a convenience function for fitting multiple
@ -16,9 +16,7 @@ class RCaretensemble(RPackage):
meta-model, and caretEnsemble() will make a robust linear combination of meta-model, and caretEnsemble() will make a robust linear combination of
models using a GLM.""" models using a GLM."""
homepage = "https://github.com/zachmayer/caretEnsemble" cran = "caretEnsemble"
url = "https://cloud.r-project.org/src/contrib/caretEnsemble_2.0.1.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/caretEnsemble"
version('2.0.1', sha256='7e595e604ce2d9d32afbc5404e6fcbcd7f80e687316e9ca3303aca3e44c3ef88') version('2.0.1', sha256='7e595e604ce2d9d32afbc5404e6fcbcd7f80e687316e9ca3303aca3e44c3ef88')

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@ -7,12 +7,20 @@
class RCaroline(RPackage): class RCaroline(RPackage):
"""caroline: A Collection of Database, Data Structure, Visualization, """A Collection of Database, Data Structure, Visualization, andUtility
andUtility Functions for R""" Functions for R.
homepage = "https://cloud.r-project.org/package=caroline" The caroline R library contains dozens of functions useful for: database
url = "https://cloud.r-project.org/src/contrib/caroline_0.7.6.tar.gz" migration (dbWriteTable2), database style joins & aggregation (nerge,
list_url = "https://cloud.r-project.org/src/contrib/Archive/caroline" groupBy & bestBy), data structure conversion (nv, tab2df), legend table
making (sstable & leghead), plot annotation (labsegs & mvlabs), data
visualization (violins, pies & raPlot), character string manipulation (m &
pad), file I/O (write.delim), batch scripting and more. The package's
greatest contributions lie in the database style merge, aggregation and
interface functions as well as in it's extensive use and propagation of
row, column and vector names in most functions."""
cran = "caroline"
version('0.7.6', sha256='e7ba948f7d87f091b498dd0eec2ca4fdad7af4e2bbb67e0945c2f0d3f2eadda9') version('0.7.6', sha256='e7ba948f7d87f091b498dd0eec2ca4fdad7af4e2bbb67e0945c2f0d3f2eadda9')

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@ -8,22 +8,21 @@
class RCatools(RPackage): class RCatools(RPackage):
"""Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc """Moving Window Statistics, GIF, Base64, ROC AUC, etc.
Contains several basic utility functions including: moving (rolling, Contains several basic utility functions including: moving (rolling,
running) window statistic functions, read/write for GIF and ENVI binary running) window statistic functions, read/write for GIF and ENVI binary
files, fast calculation of AUC, LogitBoost classifier, base64 files, fast calculation of AUC, LogitBoost classifier, base64
encoder/decoder, round-off-error-free sum and cumsum, etc.""" encoder/decoder, round-off-error-free sum and cumsum, etc."""
homepage = "https://cloud.r-project.org/package=caTools" cran = "caTools"
url = "https://cloud.r-project.org/src/contrib/caTools_1.17.1.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/caTools"
version('1.18.2', sha256='75d61115afec754b053ed1732cc034f2aeb27b13e6e1932aa0f26bf590cf0293')
version('1.18.1', sha256='ffeba4ffbeed5d491bf79b1fde3477f413341e412f77316af20439f54447c9f9') version('1.18.1', sha256='ffeba4ffbeed5d491bf79b1fde3477f413341e412f77316af20439f54447c9f9')
version('1.17.1.2', sha256='69cc542fab5677462b1a768709d0c4a0a0790f5db53e1fe9ae7123787c18726b') version('1.17.1.2', sha256='69cc542fab5677462b1a768709d0c4a0a0790f5db53e1fe9ae7123787c18726b')
version('1.17.1.1', sha256='d53e2c5c77f1bd4744703d7196dbc9b4671a120bbb5b9b3edc45fc57c0650c06') version('1.17.1.1', sha256='d53e2c5c77f1bd4744703d7196dbc9b4671a120bbb5b9b3edc45fc57c0650c06')
version('1.17.1', sha256='d32a73febf00930355cc00f3e4e71357412e0f163faae6a4bf7f552cacfe9af4') version('1.17.1', sha256='d32a73febf00930355cc00f3e4e71357412e0f163faae6a4bf7f552cacfe9af4')
depends_on('r@2.2.0:', type=('build', 'run')) depends_on('r@2.2.0:', type=('build', 'run'))
depends_on('r@3.6.0:', when='@1.18.1:', type=('build', 'run')) depends_on('r@3.6.0:', type=('build', 'run'), when='@1.18.1:')
depends_on('r-bitops', type=('build', 'run')) depends_on('r-bitops', type=('build', 'run'))

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@ -5,10 +5,12 @@
class RCca(RPackage): class RCca(RPackage):
"""Provides a set of functions that extend the 'cancor' function """Canonical Correlation Analysis.
with new numerical and graphical outputs. It also include a
regularized extension of the canonical correlation analysis to Provides a set of functions that extend the 'cancor' function with new
deal with datasets with more variables than observations.""" numerical and graphical outputs. It also include a regularized extension of
the canonical correlation analysis to deal with datasets with more
variables than observations."""
cran = 'CCA' cran = 'CCA'

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@ -5,8 +5,10 @@
class RCcp(RPackage): class RCcp(RPackage):
"""Significance tests for canonical correlation analysis, """Significance Tests for Canonical Correlation Analysis (CCA).
including asymptotic tests and a Monte Carlo method"""
Significance tests for canonical correlation analysis, including asymptotic
tests and a Monte Carlo method"""
cran = 'CCP' cran = 'CCP'

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@ -8,7 +8,7 @@
class RCdcfluview(RPackage): class RCdcfluview(RPackage):
"""Retrieve Flu Season Data from the United States Centers for Disease """Retrieve Flu Season Data from the United States Centers for Disease
Control and Prevention ('CDC') 'FluView' Portal Control and Prevention ('CDC') 'FluView' Portal.
The 'U.S.' Centers for Disease Control ('CDC') maintains a portal The 'U.S.' Centers for Disease Control ('CDC') maintains a portal
<https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html> for accessing <https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html> for accessing
@ -17,21 +17,20 @@ class RCdcfluview(RPackage):
to select and retrieve influenza data. Tools are provided to access the to select and retrieve influenza data. Tools are provided to access the
data provided by the portal's underlying 'API'.""" data provided by the portal's underlying 'API'."""
homepage = "https://cloud.r-project.org/package=cdcfluview" cran = "cdcfluview"
url = "https://cloud.r-project.org/src/contrib/cdcfluview_0.7.0.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/cdcfluview"
version('0.9.4', sha256='776a155c4f0cc678fde94a6d47cc2783ff5c199f26cce642461092e1b6311dad')
version('0.9.2', sha256='f2080fc80c5e0241f8b657f5ac3a251ea89dfc26c1ab13bdfaed4d4e97495015') version('0.9.2', sha256='f2080fc80c5e0241f8b657f5ac3a251ea89dfc26c1ab13bdfaed4d4e97495015')
version('0.9.0', sha256='1b2064886858cbb1790ef808d88fbab75d3a9cf55e720638221a3377ff8dd244') version('0.9.0', sha256='1b2064886858cbb1790ef808d88fbab75d3a9cf55e720638221a3377ff8dd244')
version('0.7.0', sha256='8c8978d081f8472a6ed5ec54c4e6dd906f97ee28d0f88eef1514088f041ecc03') version('0.7.0', sha256='8c8978d081f8472a6ed5ec54c4e6dd906f97ee28d0f88eef1514088f041ecc03')
depends_on('r@3.2.0:', when='@:0.9.0', type=('build', 'run')) depends_on('r@3.2.0:', type=('build', 'run'))
depends_on('r@3.5.0:', when='@0.9.2:', type=('build', 'run')) depends_on('r@3.5.0:', type=('build', 'run'), when='@0.9.2:')
depends_on('r-httr', type=('build', 'run')) depends_on('r-httr', type=('build', 'run'))
depends_on('r-progress', when='@0.9.2:', type=('build', 'run')) depends_on('r-progress', type=('build', 'run'), when='@0.9.2:')
depends_on('r-dplyr', type=('build', 'run')) depends_on('r-dplyr', type=('build', 'run'))
depends_on('r-jsonlite', type=('build', 'run')) depends_on('r-jsonlite', type=('build', 'run'))
depends_on('r-tibble', when='@0.9.2:', type=('build', 'run')) depends_on('r-tibble', type=('build', 'run'), when='@0.9.2:')
depends_on('r-sf', type=('build', 'run')) depends_on('r-sf', type=('build', 'run'))
depends_on('r-xml2', type=('build', 'run')) depends_on('r-xml2', type=('build', 'run'))
depends_on('r-purrr', type=('build', 'run')) depends_on('r-purrr', type=('build', 'run'))

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@ -7,12 +7,12 @@
class RCellranger(RPackage): class RCellranger(RPackage):
"""Helper functions to work with spreadsheets and the "A1:D10" """Translate Spreadsheet Cell Ranges to Rows and Columns.
style of cell range specification."""
homepage = "https://cloud.r-project.org/package=cellranger" Helper functions to work with spreadsheets and the "A1:D10" style of cell
url = "https://cloud.r-project.org/src/contrib/cellranger_1.1.0.tar.gz" range specification."""
list_url = "https://cloud.r-project.org/src/contrib/Archive/cellranger"
cran = "cellranger"
version('1.1.0', sha256='5d38f288c752bbb9cea6ff830b8388bdd65a8571fd82d8d96064586bd588cf99') version('1.1.0', sha256='5d38f288c752bbb9cea6ff830b8388bdd65a8571fd82d8d96064586bd588cf99')

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@ -7,15 +7,13 @@
class RCheckmate(RPackage): class RCheckmate(RPackage):
"""Fast and Versatile Argument Checks """Fast and Versatile Argument Checks.
Tests and assertions to perform frequent argument checks. Tests and assertions to perform frequent argument checks. A substantial
A substantial part of the package was written in C to part of the package was written in C to minimize any worries about
minimize any worries about execution time overhead.""" execution time overhead."""
homepage = "https://cloud.r-project.org/package=checkmate" cran = "checkmate"
url = "https://cloud.r-project.org/src/contrib/checkmate_1.8.4.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/checkmate"
version('2.0.0', sha256='0dc25b0e20c04836359df1885d099c6e4ad8ae0e585a9e4107f7ea945d9c6fa4') version('2.0.0', sha256='0dc25b0e20c04836359df1885d099c6e4ad8ae0e585a9e4107f7ea945d9c6fa4')
version('1.9.4', sha256='faa25754b757fe483b876f5d07b73f76f69a1baa971420892fadec4af4bbad21') version('1.9.4', sha256='faa25754b757fe483b876f5d07b73f76f69a1baa971420892fadec4af4bbad21')

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@ -7,7 +7,8 @@
class RCheckpoint(RPackage): class RCheckpoint(RPackage):
"""Install Packages from Snapshots on the Checkpoint Server for Reproducibility """Install Packages from Snapshots on the Checkpoint Server for
Reproducibility.
The goal of checkpoint is to solve the problem of package reproducibility The goal of checkpoint is to solve the problem of package reproducibility
in R. Specifically, checkpoint allows you to install packages as they in R. Specifically, checkpoint allows you to install packages as they
@ -25,13 +26,19 @@ class RCheckpoint(RPackage):
thus creating the archive. Snapshot archives exist starting from thus creating the archive. Snapshot archives exist starting from
2014-09-17.""" 2014-09-17."""
homepage = "https://cloud.r-project.org/package=checkpoint" cran = "checkpoint"
url = "https://cloud.r-project.org/src/contrib/checkpoint_0.4.6.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/checkpoint"
version('1.0.2', sha256='a80390d834534e908058a597a2a5ee60a111023e76f13f370949963582dd07a5')
version('1.0.1', sha256='8542029395b7d557c1b39423326611f408788fcd02f5cbeb5ed252f368f8dcd2')
version('1.0.0', sha256='d36146093763ca29e0296729399b96e0f2e7764745283d6cea1066a96fa085a7')
version('0.4.10', sha256='7362ae9703763fe4652d0b592cd913ce506f072a18e5cf5970d08d7cdf4d126a') version('0.4.10', sha256='7362ae9703763fe4652d0b592cd913ce506f072a18e5cf5970d08d7cdf4d126a')
version('0.4.6', sha256='fd1a5edb5cb1a40d7ed26bb196de566110fe2ef62e70b4e947c003576a03ebb2') version('0.4.6', sha256='fd1a5edb5cb1a40d7ed26bb196de566110fe2ef62e70b4e947c003576a03ebb2')
version('0.4.3', sha256='c3e862f89f8838183d6028f7ed13683aec562e6dab77ad4b6a5e24ec653cfb64') version('0.4.3', sha256='c3e862f89f8838183d6028f7ed13683aec562e6dab77ad4b6a5e24ec653cfb64')
version('0.3.15', sha256='09f1feeb2b5b8b409a2e16a9185827b8da5e555f1aa84442a287f15e452beed7') version('0.3.15', sha256='09f1feeb2b5b8b409a2e16a9185827b8da5e555f1aa84442a287f15e452beed7')
depends_on('r@3.0.0:', type=('build', 'run')) depends_on('r@3.0.0:', type=('build', 'run'))
depends_on('r@3.3.0:', type=('build', 'run'), when='@1.0.0:')
depends_on('r-jsonlite', type=('build', 'run'), when='@1.0.0:')
depends_on('r-yaml', type=('build', 'run'), when='@1.0.0:')
depends_on('r-withr', type=('build', 'run'), when='@1.0.0:')
depends_on('r-pkgdepends', type=('build', 'run'), when='@1.0.0:')

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@ -7,13 +7,12 @@
class RChemometrics(RPackage): class RChemometrics(RPackage):
"""R companion to the book "Introduction to Multivariate Statistical """Multivariate Statistical Analysis in Chemometrics.
Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser
(2009)."""
homepage = "https://cloud.r-project.org/package=chemometrics" R companion to the book "Introduction to Multivariate Statistical Analysis
url = "https://cloud.r-project.org/src/contrib/chemometrics_1.4.2.tar.gz" in Chemometrics" written by K. Varmuza and P. Filzmoser (2009)."""
list_url = "https://cloud.r-project.org/src/contrib/Archive/chemometrics"
cran = "chemometrics"
version('1.4.2', sha256='b705832fa167dc24b52b642f571ed1efd24c5f53ba60d02c7797986481b6186a') version('1.4.2', sha256='b705832fa167dc24b52b642f571ed1efd24c5f53ba60d02c7797986481b6186a')
version('1.4.1', sha256='7646da0077657d672356204aa2094be68e10ec13617f92ae97ff53a389053905') version('1.4.1', sha256='7646da0077657d672356204aa2094be68e10ec13617f92ae97ff53a389053905')

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@ -9,12 +9,9 @@
class RChron(RPackage): class RChron(RPackage):
"""Chronological objects which can handle dates and times. """Chronological objects which can handle dates and times.
Provides chronological objects which can handle dates and times. Provides chronological objects which can handle dates and times."""
"""
homepage = "https://cloud.r-project.org/package=chron" cran = "chron"
url = "https://cloud.r-project.org/src/contrib/chron_2.3-47.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/chron"
version('2.3-56', sha256='863ecbb951a3da994761ea9062fa96d34e94e19fbc4122521ac179274dfa3f5d') version('2.3-56', sha256='863ecbb951a3da994761ea9062fa96d34e94e19fbc4122521ac179274dfa3f5d')
version('2.3-53', sha256='521814b46ba958eae28e29d8766aebd285da5e6fa16c5806603df3ae39f77309') version('2.3-53', sha256='521814b46ba958eae28e29d8766aebd285da5e6fa16c5806603df3ae39f77309')

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@ -7,7 +7,7 @@
class RCirclize(RPackage): class RCirclize(RPackage):
"""Circular Visualization """Circular Visualization.
Circular layout is an efficient way for the visualization of huge amounts Circular layout is an efficient way for the visualization of huge amounts
of information. Here this package provides an implementation of circular of information. Here this package provides an implementation of circular
@ -21,17 +21,16 @@ class RCirclize(RPackage):
package is described in Gu et al. 2014 package is described in Gu et al. 2014
<doi:10.1093/bioinformatics/btu393>.""" <doi:10.1093/bioinformatics/btu393>."""
homepage = "https://cloud.r-project.org/package=circlize" cran = "circlize"
url = "https://cloud.r-project.org/src/contrib/circlize_0.4.1.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/circlize"
version('0.4.13', sha256='6cbadbf8e8b1abbd71a79080677d2b95f2bdd18f2e4d707c32d5c2ff26c5369b')
version('0.4.12', sha256='b3b60caa5292cf980cf474c85f59582f6862925631a4da86a78eac05903252f4') version('0.4.12', sha256='b3b60caa5292cf980cf474c85f59582f6862925631a4da86a78eac05903252f4')
version('0.4.6', sha256='cec88cfc5e512a111cc37177552c25698ccc0e9bbecb0d6e60657e7b115a56fa') version('0.4.6', sha256='cec88cfc5e512a111cc37177552c25698ccc0e9bbecb0d6e60657e7b115a56fa')
version('0.4.1', sha256='204a170ae3b982f09b652c4583189907cfa42a29bc7efaba02a1e0d79f1cf1f0') version('0.4.1', sha256='204a170ae3b982f09b652c4583189907cfa42a29bc7efaba02a1e0d79f1cf1f0')
version('0.4.0', sha256='abdc1bbe264be42c1d7b65869979da7cd131032fd6fd3f11f9744dae54e83f5c') version('0.4.0', sha256='abdc1bbe264be42c1d7b65869979da7cd131032fd6fd3f11f9744dae54e83f5c')
depends_on('r@3.0.0:', type=('build', 'run')) depends_on('r@3.0.0:', type=('build', 'run'))
depends_on('r-globaloptions@0.1.0:', when='@:0.4.6', type=('build', 'run')) depends_on('r-globaloptions@0.1.0:', type=('build', 'run'))
depends_on('r-globaloptions@0.1.2:', when='@0.4.12:', type=('build', 'run')) depends_on('r-globaloptions@0.1.2:', type=('build', 'run'), when='@0.4.12:')
depends_on('r-shape', type=('build', 'run')) depends_on('r-shape', type=('build', 'run'))
depends_on('r-colorspace', type=('build', 'run')) depends_on('r-colorspace', type=('build', 'run'))

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@ -7,14 +7,12 @@
class RCircstats(RPackage): class RCircstats(RPackage):
"""Circular Statistics, from "Topics in Circular Statistics" (2001) """Circular Statistics, from "Topics in Circular Statistics" (2001).
Circular Statistics, from "Topics in Circular Statistics" (2001) S. Circular Statistics, from "Topics in Circular Statistics" (2001) S. Rao
Rao Jammalamadaka and A. SenGupta, World Scientific.""" Jammalamadaka and A. SenGupta, World Scientific."""
homepage = "https://cloud.r-project.org/package=CircStats" cran = "CircStats"
url = "https://cloud.r-project.org/src/contrib/CircStats_0.2-6.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/CircStats"
maintainers = ['dorton21'] maintainers = ['dorton21']

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