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CRAN: Package performance

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: 0.15.0 Depends: R (≥ 4.0) Imports: bayestestR (≥ 0.16.0), insight (≥ 1.3.1), datawizard (≥ 1.1.0), stats, methods, utils Suggests: AER, afex, BayesFactor, bayesplot, betareg, bigutilsr, blavaan, boot, brms, car, carData, CompQuadForm, correlation (≥ 0.8.8), cplm, curl, dagitty, dbscan, DHARMa (≥ 0.4.7), discovr, estimatr, fixest, flextable, forecast, ftExtra, gamm4, ggdag, glmmTMB (≥ 1.1.10), GPArotation, graphics, Hmisc, httr2, ICS, ICSOutlier, ISLR, ivreg, lavaan, lme4, lmtest, loo, MASS, Matrix, mclogit, mclust, metadat, metafor, mgcv, mlogit, modelbased, multimode, nestedLogit, nlme, nnet, nonnest2, ordinal, parallel, parameters (≥ 0.27.0), patchwork, pscl, psych, psychTools, quantreg, qqplotr (≥ 0.0.6), randomForest, RcppEigen, reformulas, rempsyc, rmarkdown, rstanarm, rstantools, sandwich, see (≥ 0.9.0), survey, survival, testthat (≥ 3.2.1), tweedie, VGAM, withr (≥ 3.0.0) Published: 2025-07-10 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] Maintainer: Daniel Lüdecke <officialeasystats at gmail.com> BugReports: https://github.com/easystats/performance/issues License: GPL-3 URL: https://easystats.github.io/performance/ NeedsCompilation: no Language: en-US Citation: performance citation info Materials: README NEWS In views: MixedModels CRAN checks: performance results

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