performance: Assessment of Regression Models Performance (original) (raw)

Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.

Version:

0.13.0

Depends:

R (≥ 3.6)

Imports:

bayestestR (≥ 0.15.0), insight (≥ 1.0.0), datawizard (≥ 0.13.0), stats, utils

Suggests:

AER, afex, BayesFactor, bayesplot, betareg, bigutilsr, blavaan, boot, brms, car, carData, CompQuadForm, correlation, cplm, dagitty, dbscan, DHARMa (≥ 0.4.7), estimatr, fixest, flextable, forecast, ftExtra, gamm4, ggdag, glmmTMB (≥ 1.1.10), graphics, Hmisc, httr2, ICS, ICSOutlier, ISLR, ivreg, lavaan, lme4, lmtest, loo, MASS, Matrix, mclogit, mclust, metadat, metafor, mgcv, mlogit, multimode, nestedLogit, nlme, nonnest2, ordinal, parallel, parameters (≥ 0.22.0), patchwork, pscl, psych, quantreg, qqplotr (≥ 0.0.6), randomForest, RcppEigen, rempsyc, rmarkdown, rstanarm, rstantools, sandwich, see (≥ 0.9.0), survey, survival, testthat (≥ 3.2.1), tweedie, VGAM, withr (≥ 3.0.0)

Published:

2025-01-15

DOI:

10.32614/CRAN.package.performance

Author:

Daniel Lüdecke [aut, cre], Dominique Makowski [aut, ctb], Mattan S. Ben-Shachar [aut, ctb], Indrajeet Patil [aut, ctb], Philip Waggoner [aut, ctb], Brenton M. Wiernik [aut, ctb], Rémi Thériault [aut, ctb], Vincent Arel-Bundock [ctb], Martin Jullum [rev], gjo11 [rev], Etienne Bacher [ctb], Joseph Luchman [ctb]