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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:0.15.3
Depends:R (≥ 4.0)
Imports:bayestestR (≥ 0.17.0),insight (≥ 1.4.2),datawizard (≥1.3.0), 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 (≥ 1.1.12),GPArotation, graphics,Hmisc,httr2,ICS,ICSOutlier,ISLR,ivreg,lavaan,lme4,lmtest,loo,MASS,Matrix,mclogit,mclust,metadat,metafor,mgcv,mlogit,modelbased (≥ 0.12.0),multimode,nestedLogit,nlme,nnet,nonnest2,ordinal, parallel,parameters (≥ 0.28.0),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:2025-12-01
DOI:10.32614/CRAN.package.performance
Author:Daniel LüdeckeORCID iD [aut, cre], Dominique MakowskiORCID iD [aut, ctb], Mattan S. Ben-ShacharORCID iD [aut, ctb], Indrajeet PatilORCID iD [aut, ctb], Philip WaggonerORCID iD [aut, ctb], Brenton M. WiernikORCID iD [aut, ctb], Rémi ThériaultORCID iD [aut, ctb], Vincent Arel-BundockORCID iD [ctb], Martin Jullum [rev], gjo11 [rev], Etienne BacherORCID iD [ctb], Joseph LuchmanORCID iD [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

Documentation:

Reference manual:performance.html ,performance.pdf

Downloads:

Package source: performance_0.15.3.tar.gz
Windows binaries: r-devel:performance_0.15.3.zip, r-release:performance_0.15.3.zip, r-oldrel:performance_0.15.3.zip
macOS binaries: r-release (arm64):performance_0.15.2.tgz, r-oldrel (arm64):performance_0.15.3.tgz, r-release (x86_64):performance_0.15.3.tgz, r-oldrel (x86_64):performance_0.15.3.tgz
Old sources: performance archive

Reverse dependencies:

Reverse imports:apa7,AssumpSure,CR2,dotwhisker,easystats,effectsize,ggstatsplot,MDMA,MLMusingR,modelsummary,multitool,piecewiseSEM,PLSDAbatch,pubh,report,SCDA,see,sjPlot,sjstats,statsExpressions,steppedwedge,SynergyLMM,ZLAvian
Reverse suggests:afex,archetyper,bayestestR,bruceR,COINr,datawizard,dominanceanalysis,domir,insight,JSmediation,modelbased,MuMIn,panelsummary,parameters,ProFAST,rempsyc,specr
Reverse enhances:lme4

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=performanceto link to this page.


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