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author | Peter Lo <peterloleungyau@gmail.com> | 2020-06-29 13:50:34 +0800 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2020-09-11 18:29:48 +0200 |
commit | 3dbe8a57ec4967f1719a5a3a4cecee7c863d420d (patch) | |
tree | 7642ac39f7f60553a005b7894d5c8d4e2271554e /gnu | |
parent | e309e17f84402377753f63a44616b252b88920ea (diff) | |
download | guix-3dbe8a57ec4967f1719a5a3a4cecee7c863d420d.tar.gz guix-3dbe8a57ec4967f1719a5a3a4cecee7c863d420d.zip |
gnu: Add r-tidyposterior.
* gnu/packages/cran.scm (r-tidyposterior): New variable.
Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
Diffstat (limited to 'gnu')
-rw-r--r-- | gnu/packages/cran.scm | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index bdb114790e..3f61763f0e 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -23862,3 +23862,40 @@ and classes to be used in conjunction with other @code{tidymodels} packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.") (license license:expat))) + +(define-public r-tidyposterior + (package + (name "r-tidyposterior") + (version "0.0.3") + (source + (origin + (method url-fetch) + (uri (cran-uri "tidyposterior" version)) + (sha256 + (base32 + "0wsv800w056ziqbnwal7ncmdy4li8cn5yrdx07w35b7j8kl4mwhg")))) + (properties `((upstream-name . "tidyposterior"))) + (build-system r-build-system) + (propagated-inputs + `(("r-dplyr" ,r-dplyr) + ("r-generics" ,r-generics) + ("r-ggplot2" ,r-ggplot2) + ("r-lifecycle" ,r-lifecycle) + ("r-purrr" ,r-purrr) + ("r-rlang" ,r-rlang) + ("r-rsample" ,r-rsample) + ("r-rstanarm" ,r-rstanarm) + ("r-tibble" ,r-tibble) + ("r-tidyr" ,r-tidyr) + ("r-vctrs" ,r-vctrs))) + (native-inputs + `(("r-knitr" ,r-knitr))) + (home-page "https://tidyposterior.tidymodels.org") + (synopsis "Bayesian analysis to compare models using resampling statistics") + (description + "This package can be used to conduct post hoc analyses of resampling +results generated by models. For example, if two models are evaluated with +the @dfn{root mean squared error} (RMSE) using 10-fold cross-validation, there +are 10 paired statistics. These can be used to make comparisons between +models without involving a test set.") + (license license:gpl2))) |