The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: | 0.12.4 |
Depends: | R (≥ 3.6) |
Imports: | bayestestR (≥ 0.15.0), insight (≥ 0.20.5), datawizard (≥ 0.13.0), stats, utils |
Suggests: | AER, afex, BayesFactor, bayesplot, betareg, bigutilsr, blavaan, boot, brms, car, carData, CompQuadForm, correlation, cplm, dagitty, dbscan, DHARMa, 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 (≥ 0.21.6), 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: | 2024-10-18 |
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 <d.luedecke at uke.de> |
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 |
Reference manual: | performance.pdf |
Package source: | performance_0.12.4.tar.gz |
Windows binaries: | r-devel: performance_0.12.4.zip, r-release: performance_0.12.4.zip, r-oldrel: performance_0.12.4.zip |
macOS binaries: | r-release (arm64): performance_0.12.4.tgz, r-oldrel (arm64): performance_0.12.4.tgz, r-release (x86_64): performance_0.12.4.tgz, r-oldrel (x86_64): performance_0.12.4.tgz |
Old sources: | performance archive |
Reverse imports: | bruceR, CR2, dotwhisker, easystats, effectsize, ggstatsplot, MLMusingR, modelbased, modelsummary, multitool, piecewiseSEM, PLSDAbatch, psycModel, pubh, report, SCDA, see, sjPlot, sjstats, statsExpressions, ZLAvian |
Reverse suggests: | afex, archetyper, bayestestR, COINr, dominanceanalysis, domir, insight, JSmediation, MuMIn, panelsummary, parameters, ProFAST, rempsyc, specr |
Please use the canonical form https://CRAN.R-project.org/package=performance to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.