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 
[aut, cre] (@strengejacke),
Dominique Makowski
[aut, ctb]
(@Dom_Makowski),
Mattan S. Ben-Shachar
[aut, ctb]
(@mattansb),
Indrajeet Patil
[aut, ctb] (@patilindrajeets),
Philip Waggoner
[aut, ctb],
Brenton M. Wiernik
[aut, ctb]
(@bmwiernik),
Vincent Arel-Bundock
[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 |