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| author | Ricardo Wurmus <rekado@elephly.net> | 2017-09-10 00:35:09 +0200 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2017-09-18 11:33:24 +0200 |
| commit | f97ce81575208eb673cb245d716b67bc61ec1a31 (patch) | |
| tree | 0efa0cb645414c0da87020a72ca6a64fc1481864 /gnu/packages | |
| parent | 851cb6dd3996ef72ad7c23bd588f8ffb64a2c21e (diff) | |
| download | guix-f97ce81575208eb673cb245d716b67bc61ec1a31.tar.gz | |
gnu: Add r-cvst.
* gnu/packages/cran.scm (r-cvst): New variable.
Diffstat (limited to 'gnu/packages')
| -rw-r--r-- | gnu/packages/cran.scm | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 80335c4686..05fdde929d 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -23,6 +23,7 @@ #:use-module (guix utils) #:use-module (guix build-system r) #:use-module (gnu packages gcc) + #:use-module (gnu packages machine-learning) #:use-module (gnu packages maths) #:use-module (gnu packages perl) #:use-module (gnu packages statistics) @@ -928,3 +929,34 @@ sampling from populations, given the observed tie pattern. Except for Steel's test and the JT test it also combines these tests across several blocks of samples.") (license license:gpl2+))) + +(define-public r-cvst + (package + (name "r-cvst") + (version "0.2-1") + (source + (origin + (method url-fetch) + (uri (cran-uri "CVST" version)) + (sha256 + (base32 + "17xacyi8cf37rr2xswx96qy7pwkaqq394awdlswykz3qlyzx4zx2")))) + (properties `((upstream-name . "CVST"))) + (build-system r-build-system) + (propagated-inputs + `(("r-kernlab" ,r-kernlab) + ("r-matrix" ,r-matrix))) + (home-page "http://cran.r-project.org/web/packages/CVST") + (synopsis "Fast cross-validation via sequential testing") + (description + "This package implements the fast cross-validation via sequential +testing (CVST) procedure. CVST is an improved cross-validation procedure +which uses non-parametric testing coupled with sequential analysis to +determine the best parameter set on linearly increasing subsets of the data. +Additionally to the CVST the package contains an implementation of the +ordinary k-fold cross-validation with a flexible and powerful set of helper +objects and methods to handle the overall model selection process. The +implementations of the Cochran's Q test with permutations and the sequential +testing framework of Wald are generic and can therefore also be used in other +contexts.") + (license license:gpl2+))) |