precrec: Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves

Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves. Saito and Rehmsmeier (2015) <doi:10.1371/journal.pone.0118432>.

Version: 0.14.4
Depends: R (≥ 3.2.1)
Imports: Rcpp (≥ 1.0.0), ggplot2 (≥ 3.0.0), assertthat (≥ 0.2), grid, gridExtra (≥ 2.0.0), methods, data.table (≥ 1.10.4), withr (≥ 2.3.0), graphics (≥ 4.0.0), rlang (≥ 1.0.0)
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0), knitr (≥ 1.11), rmarkdown (≥ 2.0), vdiffr (≥ 1.0.0), patchwork (≥ 1.1.2)
Published: 2023-10-11
DOI: 10.32614/CRAN.package.precrec
Author: Takaya Saito ORCID iD [aut, cre], Marc Rehmsmeier ORCID iD [aut]
Maintainer: Takaya Saito <takaya.saito at>
License: GPL-3
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_0.14.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): precrec_0.14.4.tgz, r-oldrel (arm64): precrec_0.14.4.tgz, r-release (x86_64): precrec_0.14.4.tgz, r-oldrel (x86_64): precrec_0.14.4.tgz
Old sources: precrec archive

Reverse dependencies:

Reverse imports: diffuStats, HEMDAG, prcbench, saseR
Reverse suggests: explainer, inferCSN, mlr3viz, simphony


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