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: 0.12.7
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), withr (≥ 2.3.0)
LinkingTo: Rcpp
Suggests: testthat (≥ 0.11.0), knitr (≥ 1.11), rmarkdown (≥ 0.8.1)
Published: 2021-05-31
Author: Takaya Saito ORCID iD [aut, cre], Marc Rehmsmeier ORCID iD [aut]
Maintainer: Takaya Saito <takaya.saito at outlook.com>
BugReports: https://github.com/evalclass/precrec/issues/
License: GPL-3
URL: https://evalclass.github.io/precrec/, https://github.com/evalclass/precrec/
NeedsCompilation: yes
Language: en-US
Citation: precrec citation info
Materials: README NEWS
CRAN checks: precrec results

Documentation:

Reference manual: precrec.pdf
Vignettes: Introduction to precrec

Downloads:

Package source: precrec_0.12.7.tar.gz
Windows binaries: r-devel: precrec_0.12.7.zip, r-devel-UCRT: precrec_0.12.7.zip, r-release: precrec_0.12.7.zip, r-oldrel: precrec_0.12.7.zip
macOS binaries: r-release (arm64): precrec_0.12.7.tgz, r-release (x86_64): precrec_0.12.7.tgz, r-oldrel: precrec_0.12.7.tgz
Old sources: precrec archive

Reverse dependencies:

Reverse imports: BioMM, diffuStats, HEMDAG, prcbench
Reverse suggests: epiGWAS, mlr3viz

Linking:

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