58 lines
3.1 KiB
Python
58 lines
3.1 KiB
Python
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class RBrms(RPackage):
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"""Bayesian Regression Models using 'Stan'.
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Fit Bayesian generalized (non-)linear multivariate multilevel models using
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'Stan' for full Bayesian inference. A wide range of distributions and link
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functions are supported, allowing users to fit - among others - linear,
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robust linear, count data, survival, response times, ordinal,
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zero-inflated, hurdle, and even self-defined mixture models all in a
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multilevel context. Further modeling options include non-linear and smooth
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terms, auto-correlation structures, censored data, meta-analytic standard
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errors, and quite a few more. In addition, all parameters of the response
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distribution can be predicted in order to perform distributional
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regression. Prior specifications are flexible and explicitly encourage
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users to apply prior distributions that actually reflect their beliefs.
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Model fit can easily be assessed and compared with posterior predictive
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checks and leave-one-out cross-validation. References: Burkner (2017)
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<doi:10.18637/jss.v080.i01>; Burkner (2018) <doi:10.32614/RJ-2018-017>;
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Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>."""
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cran = "brms"
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version("2.18.0", sha256="63914be03cd1c4e6333317d22d7827ba2dc0414cb0dc88337cf74763ba07e111")
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version("2.17.0", sha256="24e5a3a40b81bea558e8f660d0de7fd1a4c2080c7553baac98f34dd2682ece71")
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version("2.16.3", sha256="68302b10b5264f72d163d01c17792c002306cf37f0ee778dcec4c7e118f923e1")
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version("2.16.1", sha256="749efbd9fb061fe207cf2e729c1387d9a8538b922f12ceec4e82a9f8dd9c1bc4")
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version("2.15.0", sha256="c11701d1d8758590b74bb845b568b736e4455a81b114c7dfde0b27b7bd1bcc2f")
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depends_on("r@3.5.0:", type=("build", "run"))
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depends_on("r-rcpp@0.12.0:", type=("build", "run"))
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depends_on("r-rstan@2.19.2:", type=("build", "run"))
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depends_on("r-ggplot2@2.0.0:", type=("build", "run"))
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depends_on("r-loo@2.3.1:", type=("build", "run"))
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depends_on("r-posterior@1.0.0:", type=("build", "run"), when="@2.16:")
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depends_on("r-matrix@1.1.1:", type=("build", "run"))
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depends_on("r-mgcv@1.8-13:", type=("build", "run"))
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depends_on("r-rstantools@2.1.1:", type=("build", "run"))
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depends_on("r-bayesplot@1.5.0:", type=("build", "run"))
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depends_on("r-shinystan@2.4.0:", type=("build", "run"))
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depends_on("r-bridgesampling@0.3-0:", type=("build", "run"))
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depends_on("r-glue@1.3.0:", type=("build", "run"))
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depends_on("r-future@1.19.0:", type=("build", "run"))
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depends_on("r-matrixstats", type=("build", "run"))
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depends_on("r-nleqslv", type=("build", "run"))
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depends_on("r-nlme", type=("build", "run"))
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depends_on("r-coda", type=("build", "run"))
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depends_on("r-abind", type=("build", "run"))
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depends_on("r-backports", type=("build", "run"))
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depends_on("r-projpred@2.0.0:", type=("build", "run"), when="@:2.16.1")
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