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.

Version: 0.9.2
Depends: R (≥ 3.5)
Imports: bayestestR (≥ 0.11.5), insight (≥ 0.18.0), datawizard (≥ 0.4.1.10), methods, stats, utils
Suggests: AER, afex, BayesFactor, bayesplot, betareg, bigutilsr, blavaan, brms, car, CompQuadForm, correlation, cplm, dbscan, estimatr, fixest, forecast, gamm4, ggplot2, glmmTMB, httr, ICS, ICSOutlier, ISLR, lavaan, lme4, lmtest, loo, magrittr, MASS, Matrix, mclust, metafor, mgcv, mlogit, multimode, nlme, nonnest2, ordinal, parallel, parameters, patchwork, poorman, pscl, psych, randomForest, rmarkdown, rstanarm, rstantools, sandwich, see, survey, survival, testthat, tweedie, VGAM
Published: 2022-08-10
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], Martin Jullum [rev], gjo11 [rev]
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
CRAN checks: performance results

Documentation:

Reference manual: performance.pdf

Downloads:

Package source: performance_0.9.2.tar.gz
Windows binaries: r-devel: performance_0.9.2.zip, r-release: performance_0.9.2.zip, r-oldrel: performance_0.9.2.zip
macOS binaries: r-release (arm64): performance_0.9.2.tgz, r-oldrel (arm64): performance_0.9.2.tgz, r-release (x86_64): performance_0.9.2.tgz, r-oldrel (x86_64): performance_0.9.2.tgz
Old sources: performance archive

Reverse dependencies:

Reverse imports: bruceR, drhur, easystats, effectsize, ggstatsplot, modelbased, modelsummary, psycModel, report, sjPlot, sjstats, statsExpressions
Reverse suggests: afex, archetyper, bayestestR, COINr, domir, insight, JSmediation, parameters, pubh, see, specr

Linking:

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