@@ -22325,3 +22325,27 @@ across a wide array of bioinformatic R packages.")
and clustering large sequence datasets using fast alignment-free k-mer
counting and recursive k-means partitioning.")
(license license:gpl3)))
+
+(define-public r-metrics
+ (package
+ (name "r-metrics")
+ (version "0.1.4")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "Metrics" version))
+ (sha256
+ (base32
+ "0fh8qbjlwzagh272lgwr4bxcqcjb1qpz53mgs8rzlvncax6nk5bk"))))
+ (properties `((upstream-name . "Metrics")))
+ (build-system r-build-system)
+ (home-page "https://github.com/mfrasco/Metrics")
+ (synopsis
+ "Evaluation Metrics for Machine Learning")
+ (description
+ "An implementation of evaluation metrics in R that are commonly
+used in supervised machine learning. It implements metrics for
+regression, time series, binary classification, classification, and
+information retrieval problems. It has zero dependencies and a
+consistent, simple interface for all functions.")
+ (license license:bsd-3)))