prcbench: Testing Workbench for Precision-Recall Curves

A testing workbench to evaluate tools that calculate precision-recall curves. Saito and Rehmsmeier (2015) <doi:10.1371/journal.pone.0118432>.

Version: 1.0.2
Depends: R (≥ 3.2.3)
Imports: ROCR (≥ 1.0-7), PRROC (≥ 1.1), precrec (≥ 0.1), R6 (≥ 2.1.1), assertthat (≥ 0.1), grid, gridExtra (≥ 2.0.0), graphics, ggplot2 (≥ 2.1.0), methods, memoise (≥ 1.0.0)
Suggests: microbenchmark (≥ 1.4-2.1), PerfMeas (≥ 1.2.1), rJava (≥ 0.9-7), testthat (≥ 0.11.0), knitr (≥ 1.11), rmarkdown (≥ 0.8.1)
Published: 2022-02-03
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/prcbench/issues
License: GPL-3
URL: https://evalclass.github.io/prcbench/, https://github.com/evalclass/prcbench
NeedsCompilation: no
Language: en-US
Citation: prcbench citation info
Materials: README NEWS
CRAN checks: prcbench results

Documentation:

Reference manual: prcbench.pdf
Vignettes: Introduction to prcbench

Downloads:

Package source: prcbench_1.0.2.tar.gz
Windows binaries: r-devel: prcbench_1.0.2.zip, r-release: prcbench_1.0.2.zip, r-oldrel: prcbench_1.0.2.zip
macOS binaries: r-release (arm64): prcbench_1.0.2.tgz, r-release (x86_64): prcbench_1.0.2.tgz, r-oldrel: prcbench_1.0.2.tgz
Old sources: prcbench archive

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