metrica: Prediction Performance Metrics

A compilation of more than 40 functions designed to evaluate prediction performance of point-forecast models accounting for different aspects of the agreement between predicted and observed values. It includes error metrics (e.g. MAE, RMSE), model efficiencies (e.g. NSE, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), concordance correlation (e.g. CCC), error decomposition (e.g. lack of accuracy-precision), and plots the visualize agreement. For more details visit the vignettes <>.

Version: 1.2.3
Depends: R (≥ 2.10)
Imports: stats, ggplot2, dplyr, rlang, tidyr, viridis, utils, DBI, RSQLite, ggpp
Suggests: covr, tidyverse, knitr, rmarkdown, apsimx, testthat (≥ 3.0.0)
Published: 2022-05-12
Author: Adrian A. Correndo ORCID iD [cre, cph], Adrian A. Correndo ORCID iD [aut], Luiz H. Moro Rosso ORCID iD [aut], Rai Schwalbert ORCID iD [aut], Carlos Hernandez ORCID iD [aut], Leonardo M. Bastos ORCID iD [aut], Dean Holzworth [aut], Ignacio A. Ciampitti ORCID iD [aut]
Maintainer: Adrian A. Correndo <correndo at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: metrica results


Reference manual: metrica.pdf
Vignettes: Available metrics
Assessing model agreement in wheat grain nitrogen content prediction - a use case


Package source: metrica_1.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): metrica_1.2.3.tgz, r-oldrel (arm64): metrica_1.2.3.tgz, r-release (x86_64): metrica_1.2.3.tgz, r-oldrel (x86_64): metrica_1.2.3.tgz


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