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 |
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 |
Reference manual: | ModelMetrics.pdf |
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 imports: | caret, D2MCS, interflex, preciseTAD, RaSEn, TSPred, VariantScan |
Reverse suggests: | bigstatsr, NHSRdatasets, sGMRFmix, swag |
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