diff options
author | Afkhami, Navid <Navid.Afkhami@mdc-berlin.de> | 2023-11-02 17:13:49 +0000 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2023-11-02 18:34:09 +0100 |
commit | 64dbce8381f2f81826a8125e5857e4f8248f1579 (patch) | |
tree | 0b62e2337ee49770931f9024bc7edea538ff9f1f /gnu/packages/cran.scm | |
parent | f5346094f0365a2c04ca00111ff06e17dac832e2 (diff) |
gnu: Add r-nestedcv.
* gnu/packages/cran.scm (r-nestedcv): New variable.
Change-Id: Id998b4192565c220f8d238963ef61217aed12bd3
Diffstat (limited to 'gnu/packages/cran.scm')
-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 e82b027052..2cac3a75c0 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -10007,6 +10007,43 @@ implementation of an approximate nearest neighbor search using hierarchical @acronym{NSW, Navigable Small World} graphs.") (license license:asl2.0))) +(define-public r-nestedcv + (package + (name "r-nestedcv") + (version "0.7.0") + (source + (origin + (method url-fetch) + (uri (cran-uri "nestedcv" version)) + (sha256 + (base32 "0jpg4il1niyizfq8kkk391x7anhp2s38mrfypa86skr08ca46zss")))) + (properties `((upstream-name . "nestedcv"))) + (build-system r-build-system) + (propagated-inputs (list r-caret + r-data-table + r-doparallel + r-foreach + r-ggplot2 + r-glmnet + r-matrixstats + r-matrixtests + r-proc + r-rfast + r-rlang)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/myles-lewis/nestedcv") + (synopsis "Nested cross-validation with glmnet and caret") + (description + "This package implements nested cross-validation applied to the +@code{glmnet} and @code{caret} packages. With glmnet this includes +cross-validation of elastic net alpha parameter. A number of feature +selection filter functions (t-test, Wilcoxon test, ANOVA, Pearson/Spearman +correlation, random forest, ReliefF) for feature selection are provided and +can be embedded within the outer loop of the nested CV. Nested CV can be also +be performed with the @code{caret} package giving access to the large number +of prediction methods available in @code{caret}.") + (license license:expat))) + (define-public r-network (package (name "r-network") |