@@ -10007,6 +10007,43 @@ (define-public r-n2r
@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
+ "Nested cross-validation applied to the glmnet and 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 caret package giving access
+to the large number of prediction methods available in caret.")
+ (license license:expat)))
+
(define-public r-network
(package
(name "r-network")