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: 0.4.0
Depends: R (≥ 3.5.0)
Imports: stats
Suggests: dplyr, knitr
Published: 2019-12-02
Author: Michael Mayer [aut, cre, cph], Christian Lorentzen [rev]
Maintainer: Michael Mayer <mayermichael79 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MetricsWeighted results

Downloads:

Reference manual: MetricsWeighted.pdf
Vignettes: MetricsWeighted
Package source: MetricsWeighted_0.4.0.tar.gz
Windows binaries: r-devel: MetricsWeighted_0.4.0.zip, r-devel-gcc8: MetricsWeighted_0.4.0.zip, r-release: MetricsWeighted_0.4.0.zip, r-oldrel: MetricsWeighted_0.4.0.zip
OS X binaries: r-release: MetricsWeighted_0.4.0.tgz, r-oldrel: MetricsWeighted_0.4.0.tgz
Old sources: MetricsWeighted archive

Reverse dependencies:

Reverse imports: flashlight

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