ModelMetrics: Rapid Calculation of Model Metrics

Collection of metrics for evaluating models written in C++ using 'Rcpp'. Popular metrics include area under the curve, log loss, root mean square error, etc.

Depends: R (≥ 3.2.2)
Imports: Rcpp, data.table
LinkingTo: Rcpp
Suggests: testthat
Published: 2020-03-17
DOI: 10.32614/CRAN.package.ModelMetrics
Author: Tyler Hunt [aut, cre]
Maintainer: Tyler Hunt <thunt at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: ModelMetrics results


Reference manual: ModelMetrics.pdf


Package source: ModelMetrics_1.2.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ModelMetrics_1.2.2.2.tgz, r-oldrel (arm64): ModelMetrics_1.2.2.2.tgz, r-release (x86_64): ModelMetrics_1.2.2.2.tgz, r-oldrel (x86_64): ModelMetrics_1.2.2.2.tgz
Old sources: ModelMetrics archive

Reverse dependencies:

Reverse imports: caret, D2MCS, interflex, preciseTAD, RaSEn, TSPred
Reverse suggests: bigstatsr, NHSRdatasets, sGMRFmix, swag


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