Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves.
Version: | 0.11.2 |
Depends: | R (≥ 3.2.1) |
Imports: | Rcpp (≥ 0.12.2), ggplot2 (≥ 2.1.0), assertthat (≥ 0.1), grid, gridExtra (≥ 2.0.0), methods, data.table (≥ 1.10.4) |
LinkingTo: | Rcpp |
Suggests: | testthat (≥ 0.11.0), knitr (≥ 1.11), rmarkdown (≥ 0.8.1) |
Published: | 2020-05-28 |
Author: | Takaya Saito [aut, cre], Marc Rehmsmeier [aut] |
Maintainer: | Takaya Saito <takaya.saito at outlook.com> |
BugReports: | https://github.com/takayasaito/precrec/issues |
License: | GPL-3 |
URL: | http://takayasaito.github.io/precrec, https://github.com/takayasaito/precrec |
NeedsCompilation: | yes |
Language: | en-US |
Citation: | precrec citation info |
Materials: | README NEWS |
CRAN checks: | precrec results |
Reference manual: | precrec.pdf |
Vignettes: |
Introduction to precrec |
Package source: | precrec_0.11.2.tar.gz |
Windows binaries: | r-devel: precrec_0.11.2.zip, r-release: precrec_0.11.2.zip, r-oldrel: precrec_0.11.2.zip |
macOS binaries: | r-release: precrec_0.11.2.tgz, r-oldrel: precrec_0.11.2.tgz |
Old sources: | precrec archive |
Reverse imports: | diffuStats, HEMDAG, prcbench |
Reverse suggests: | epiGWAS, mlr3viz |
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