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 <https://adriancorrendo.github.io/metrica/>.
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
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Maintainer: | Adrian A. Correndo <correndo at ksu.edu> |
BugReports: | https://github.com/adriancorrendo/metrica/issues |
License: | MIT + file LICENSE |
URL: | https://adriancorrendo.github.io/metrica/ |
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: metrica_1.2.3.zip, r-release: metrica_1.2.3.zip, r-oldrel: metrica_1.2.3.zip |
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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