MetricsWeighted: Weighted Metrics and Performance Measures for Machine Learning

Provides weighted versions of several metrics and performance measures used in machine learning, including average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The package also contains a weighted version of generalized R-squared, see e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore, 'dplyr' chains are supported.

Version: 1.0.3
Depends: R (≥ 3.1.0)
Imports: graphics, stats
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-11-16
DOI: 10.32614/CRAN.package.MetricsWeighted
Author: Michael Mayer [aut, cre], Christian Lorentzen [ctb]
Maintainer: Michael Mayer <mayermichael79 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MetricsWeighted results


Reference manual: MetricsWeighted.pdf
Vignettes: MetricsWeighted


Package source: MetricsWeighted_1.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MetricsWeighted_1.0.3.tgz, r-oldrel (arm64): MetricsWeighted_1.0.3.tgz, r-release (x86_64): MetricsWeighted_1.0.3.tgz, r-oldrel (x86_64): MetricsWeighted_1.0.3.tgz
Old sources: MetricsWeighted archive

Reverse dependencies:

Reverse imports: flashlight, poolABC, tidyrules


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