MetricsWeighted: Weighted Metrics, Scoring Functions and Performance Measures for Machine Learning

Provides weighted versions of several metrics, scoring functions 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: 0.5.3
Depends: R (≥ 3.1.0)
Imports: stats, graphics
Suggests: knitr, dplyr, rmarkdown, testthat
Published: 2021-06-06
Author: Michael Mayer [aut, cre, cph], Christian Lorentzen [ctb, rev]
Maintainer: Michael Mayer <mayermichael79 at gmail.com>
BugReports: https://github.com/mayer79/MetricsWeighted/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/mayer79/MetricsWeighted
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MetricsWeighted results

Documentation:

Reference manual: MetricsWeighted.pdf
Vignettes: MetricsWeighted

Downloads:

Package source: MetricsWeighted_0.5.3.tar.gz
Windows binaries: r-devel: MetricsWeighted_0.5.3.zip, r-release: MetricsWeighted_0.5.3.zip, r-oldrel: MetricsWeighted_0.5.3.zip
macOS binaries: r-release (arm64): MetricsWeighted_0.5.3.tgz, r-release (x86_64): MetricsWeighted_0.5.3.tgz, r-oldrel: MetricsWeighted_0.5.3.tgz
Old sources: MetricsWeighted archive

Reverse dependencies:

Reverse imports: flashlight

Linking:

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