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.
Version: 1.2.2.2 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 snapfinance.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Materials: README NEWS CRAN checks: ModelMetrics results Documentation: Reference manual: ModelMetrics.pdf Downloads: Package source: ModelMetrics_1.2.2.2.tar.gz Windows binaries: r-devel: ModelMetrics_1.2.2.2.zip, r-release: ModelMetrics_1.2.2.2.zip, r-oldrel: ModelMetrics_1.2.2.2.zip 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=ModelMetrics to link to this page.
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