performance: Assessment of Regression Models 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: 0.10.5
Depends: R (≥ 3.6)
Imports: bayestestR (≥ 0.13.0), insight (≥ 0.19.4), datawizard (≥ 0.7.0), methods, stats, utils
Suggests: AER, afex, BayesFactor, bayesplot, betareg, bigutilsr, blavaan, boot, brms, car, CompQuadForm, correlation, cplm, dbscan, estimatr, fixest, forecast, gamm4, ggplot2, glmmTMB, graphics, Hmisc, httr, ICS, ICSOutlier, ISLR, ivreg, lavaan, lme4, lmtest, loo, MASS, Matrix, mclogit, mclust, metadat, metafor, mgcv, mlogit, multimode, nlme, nonnest2, ordinal, parallel, parameters (≥ 0.20.3), patchwork, pscl, psych, qqplotr (≥ 0.0.6), randomForest, rmarkdown, rstanarm, rstantools, sandwich, see (≥ 0.7.5), survey, survival, testthat, tweedie, VGAM, withr
Published: 2023-09-12
Author: Daniel Lüdecke ORCID iD [aut, cre] (@strengejacke), Dominique Makowski ORCID iD [aut, ctb] (@Dom_Makowski), Mattan S. Ben-Shachar ORCID iD [aut, ctb] (@mattansb), Indrajeet Patil ORCID iD [aut, ctb] (@patilindrajeets), Philip Waggoner ORCID iD [aut, ctb], Brenton M. Wiernik ORCID iD [aut, ctb] (@bmwiernik), Vincent Arel-Bundock ORCID iD [ctb], Rémi Thériault ORCID iD [ctb] (@rempsyc), Martin Jullum [rev], gjo11 [rev], Etienne Bacher ORCID iD [ctb]
Maintainer: Daniel Lüdecke <d.luedecke at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Citation: performance citation info
Materials: README NEWS
In views: MixedModels
CRAN checks: performance results


Reference manual: performance.pdf


Package source: performance_0.10.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): performance_0.10.5.tgz, r-oldrel (arm64): performance_0.10.5.tgz, r-release (x86_64): performance_0.10.5.tgz, r-oldrel (x86_64): performance_0.10.5.tgz
Old sources: performance archive

Reverse dependencies:

Reverse imports: bruceR, CR2, easystats, effectsize, ggstatsplot, MLMusingR, modelbased, modelsummary, piecewiseSEM, ProFAST, psycModel, report, see, sjPlot, sjstats, statsExpressions
Reverse suggests: afex, archetyper, bayestestR, COINr, domir, insight, JSmediation, panelsummary, parameters, pubh, rempsyc, specr


Please use the canonical form to link to this page.