zhangyiss/spack
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

r-brms: new package (#23233)

Browse Source
This commit is contained in:
Glenn Johnson 2021-04-26 03:01:47 -05:00 committed by GitHub
parent 4b62344163
commit 7952a802ed
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 52 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

52
var/spack/repos/builtin/packages/r-brms/package.py Normal file
View File

@ -0,0 +1,52 @@
# Copyright 2013-2021 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 RBrms(RPackage):
"""Bayesian Regression Models using 'Stan':
Fit Bayesian generalized (non-)linear multivariate multilevel models using
'Stan' for full Bayesian inference. A wide range of distributions and link
functions are supported, allowing users to fit - among others - linear,
robust linear, count data, survival, response times, ordinal,
zero-inflated, hurdle, and even self-defined mixture models all in a
multilevel context. Further modeling options include non-linear and smooth
terms, auto-correlation structures, censored data, meta-analytic standard
errors, and quite a few more. In addition, all parameters of the response
distribution can be predicted in order to perform distributional
regression. Prior specifications are flexible and explicitly encourage
users to apply prior distributions that actually reflect their beliefs.
Model fit can easily be assessed and compared with posterior predictive
checks and leave-one-out cross-validation. References: Burkner (2017)
<doi:10.18637/jss.v080.i01>; Burkner (2018) <doi:10.32614/RJ-2018-017>;
Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>."""
homepage = "https://github.com/paul-buerkner/brms"
cran = "brms"
version('2.15.0', sha256='c11701d1d8758590b74bb845b568b736e4455a81b114c7dfde0b27b7bd1bcc2f')
depends_on('r@3.5.0:', type=('build', 'run'))
depends_on('r-rcpp@0.12.0:', 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-loo@2.3.1:', 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-rstantools@2.1.1:', 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-projpred@2.0.0:', 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-future@1.19.0:', type=('build', 'run'))
depends_on('r-matrixstats', type=('build', 'run'))
depends_on('r-nleqslv', type=('build', 'run'))
depends_on('r-nlme', type=('build', 'run'))
depends_on('r-coda', type=('build', 'run'))
depends_on('r-abind', type=('build', 'run'))
depends_on('r-backports', type=('build', 'run'))