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MetricsWeighted
View on CRAN: Click
here
Download and install MetricsWeighted package within the R console
Install from CRAN:
install.packages("MetricsWeighted")
Install from Github:
library("remotes")
install_github("cran/MetricsWeighted") Install by package version:
library("remotes")
install_version("MetricsWeighted", "1.0.4") Attach the package and use:
library("MetricsWeighted")
Maintained by
Michael Mayer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-28
Latest Update: 2025-04-12
Description:
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.
How to cite:
Michael Mayer (2019). MetricsWeighted: Weighted Metrics and Performance Measures for Machine Learning. R package version 1.0.4, https://cran.r-project.org/web/packages/MetricsWeighted. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2019-07-28 09:50), 0.2.0 (2019-08-19 20:00), 0.3.0 (2019-11-08 19:10), 0.4.0 (2019-12-02 22:00), 0.5.0 (2020-01-09 00:02), 0.5.1 (2020-04-18 16:20), 0.5.2 (2021-04-16 20:20), 0.5.3 (2021-06-06 20:00), 0.5.4 (2022-01-23 18:12), 0.5.5 (2023-03-24 13:40), 1.0.0 (2023-04-16 19:50), 1.0.1 (2023-05-12 00:00), 1.0.2 (2023-06-05 17:50), 1.0.3 (2023-11-16 15:24)
Other packages that cited MetricsWeighted R package
View MetricsWeighted citation profile
Other R packages that MetricsWeighted depends,
imports, suggests or enhances
Complete documentation for MetricsWeighted
Functions, R codes and Examples using
the MetricsWeighted R package
Some associated functions: AUC . accuracy . classification_error . deviance_bernoulli . deviance_gamma . deviance_normal . deviance_poisson . deviance_tweedie . elementary_score . f1_score . gini_coefficient . logLoss . mae . mape . medae . mse . multi_metric . murphy_diagram . performance . precision . prop_within . r_squared . r_squared_bernoulli . r_squared_gamma . r_squared_poisson . recall . rmse . weighted_cor . weighted_mean . weighted_median . weighted_quantile . weighted_var .
Some associated R codes: AUC.R . accuracy.R . classification_error.R . deviance_bernoulli.R . deviance_gamma.R . deviance_normal.R . deviance_poisson.R . deviance_tweedie.R . elementary_score.R . f1_score.R . gini_coefficient.R . logLoss.R . mae.R . mape.R . medae.R . mse.R . multi_metric.R . murphy_diagram.R . performance.R . precision.R . prop_within.R . r_squared.R . r_squared_bernoulli.R . r_squared_gamma.R . r_squared_poisson.R . recall.R . rmse.R . weighted_cor.R . weighted_mean.R . weighted_median.R . weighted_quantile.R . weighted_variance.R . Full MetricsWeighted package functions and examples
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