PerfMeas: Performance Measures for Ranking and Classification Tasks

Implementation of different performance measures for classification and ranking tasks including Area Under the Receiving Characteristic Curve (AUROC) and Area Under the Precision Recall Curve (AUPRC), precision at a given recall, F-score for single and multiple classes.

Version: 1.2.5
Depends: limma, graph, RBGL
Published: 2022-09-14
Author: Giorgio Valentini [aut, cre]
Maintainer: Giorgio Valentini <valentini at di.unimi.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: PerfMeas results

Documentation:

Reference manual: PerfMeas.pdf

Downloads:

Package source: PerfMeas_1.2.5.tar.gz
Windows binaries: r-devel: PerfMeas_1.2.5.zip, r-release: PerfMeas_1.2.5.zip, r-oldrel: PerfMeas_1.2.5.zip
macOS binaries: r-release (arm64): PerfMeas_1.2.5.tgz, r-oldrel (arm64): PerfMeas_1.2.5.tgz, r-release (x86_64): PerfMeas_1.2.5.tgz, r-oldrel (x86_64): PerfMeas_1.2.5.tgz
Old sources: PerfMeas archive

Reverse dependencies:

Reverse imports: RANKS
Reverse suggests: COSNet, fgga

Linking:

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