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branch master updated: gnu: Add r-randomforestsrc.


From: guix-commits
Subject: branch master updated: gnu: Add r-randomforestsrc.
Date: Tue, 13 Apr 2021 08:44:53 -0400

This is an automated email from the git hooks/post-receive script.

rekado pushed a commit to branch master
in repository guix.

The following commit(s) were added to refs/heads/master by this push:
     new b5607d8  gnu: Add r-randomforestsrc.
b5607d8 is described below

commit b5607d830c917c49ca9a7993962bd2b7c7be953c
Author: Peter Lo <peterloleungyau@gmail.com>
AuthorDate: Sun Jun 28 16:10:29 2020 +0800

    gnu: Add r-randomforestsrc.
    
    * gnu/packages/cran.scm (r-randomforestsrc): New variable.
    
    Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
---
 gnu/packages/cran.scm | 26 ++++++++++++++++++++++++++
 1 file changed, 26 insertions(+)

diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 1e2aac8..6f931f0 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -28336,3 +28336,29 @@ indicator, a quantitative variable or a survival 
time.")
 differential expression analysis, RNAseq data and related problems.")
     ;; Any version of the LGPL
     (license license:lgpl3+)))
+
+(define-public r-randomforestsrc
+  (package
+    (name "r-randomforestsrc")
+    (version "2.9.3")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "randomForestSRC" version))
+       (sha256
+        (base32
+         "05ifvj49jv0n5p6k46milpgj9r10sc5aw23fypyyibdgwpwvwixw"))))
+    (properties
+     `((upstream-name . "randomForestSRC")))
+    (build-system r-build-system)
+    (home-page "https://cran.r-project.org/web/packages/randomForestSRC/";)
+    (synopsis "Random forests for survival, regression, and classification")
+    (description
+     "This package implements fast OpenMP parallel computing of Breiman's
+random forests for survival, competing risks, regression and classification
+based on Ishwaran and Kogalur's popular random survival forests (RSF) package.
+It handles missing data and now includes multivariate, unsupervised forests,
+quantile regression and solutions for class imbalanced data.  It provides a
+fast interface using subsampling and confidence regions for variable
+importance.")
+    (license license:gpl3+)))



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