diff options
| -rw-r--r-- | var/spack/repos/builtin/packages/r-loo/package.py | 15 |
1 files changed, 13 insertions, 2 deletions
diff --git a/var/spack/repos/builtin/packages/r-loo/package.py b/var/spack/repos/builtin/packages/r-loo/package.py index 08ed68ca2d..a693c93441 100644 --- a/var/spack/repos/builtin/packages/r-loo/package.py +++ b/var/spack/repos/builtin/packages/r-loo/package.py @@ -7,13 +7,24 @@ from spack import * 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') |