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: |
0.11.0 |
| Depends: |
R (≥ 3.6) |
| Imports: |
bayestestR (≥ 0.13.2), insight (≥ 0.19.9), datawizard (≥
0.9.1), stats, utils |
| Suggests: |
AER, afex, BayesFactor, bayesplot, betareg, bigutilsr, blavaan, boot, brms, car, carData, CompQuadForm, correlation, cplm, dbscan, DHARMa, estimatr, fixest, flextable, forecast, ftExtra, gamm4, ggplot2, glmmTMB, graphics, Hmisc, httr, ICS, ICSOutlier, ISLR, ivreg, lavaan, lme4, lmtest, loo, MASS, Matrix, mclogit, mclust, metadat, metafor, mgcv, mlogit, multimode, nestedLogit, nlme, nonnest2, ordinal, parallel, parameters (≥ 0.21.4), patchwork, pscl, psych, quantreg, qqplotr (≥ 0.0.6), randomForest, rempsyc, rmarkdown, rstanarm, rstantools, sandwich, see (≥ 0.8.2), survey, survival, testthat (≥ 3.2.1), tweedie, VGAM, withr (≥ 3.0.0) |
| Published: |
2024-03-22 |
| 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),
Rémi Thériault
[aut, ctb] (@rempsyc),
Vincent Arel-Bundock
[ctb],
Martin Jullum [rev],
gjo11 [rev],
Etienne Bacher
[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 |