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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 |
| Reverse suggests: | bigstatsr, NHSRdatasets, sGMRFmix, swag |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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