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add version 2.4.1 to r-loo (#21081)

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Glenn Johnson 2021-01-17 11:33:55 -06:00 committed by GitHub
parent 6606eb6a96
commit e19464979f
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1 changed files with 13 additions and 2 deletions
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var/spack/repos/builtin/packages/r-loo/package.py
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@ -7,13 +7,24 @@
class RLoo(RPackage):
"""loo: Efficient Leave-One-Out Cross-Validation and WAIC for
BayesianModels"""
"""Efficient Leave-One-Out Cross-Validation and WAIC for BayesianModels
Efficient approximate leave-one-out cross-validation (LOO) for Bayesian
models fit using Markov chain Monte Carlo, as described in Vehtari,
Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4>. The
approximation uses Pareto smoothed importance sampling (PSIS), a new
procedure for regularizing importance weights. As a byproduct of the
calculations, we also obtain approximate standard errors for estimated
predictive errors and for the comparison of predictive errors between
models. The package also provides methods for using stacking and other
model weighting techniques to average Bayesian predictive
distributions."""
homepage = "https://mc-stan.org/loo"
url = "https://cloud.r-project.org/src/contrib/loo_2.1.0.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/loo"
version('2.4.1', sha256='bc21fb6b4a93a7e95ee1be57e4e787d731895fb8b4743c26b30b43adee475b50')
version('2.3.1', sha256='d98de21b71d9d9386131ae5ba4da051362c3ad39e0305af4f33d830f299ae08b')
version('2.1.0', sha256='1bf4a1ef85d151577ff96d4cf2a29c9ef24370b0b1eb08c70dcf45884350e87d')