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: |
0.2.0 |
| Depends: |
R (≥ 3.0) |
| Imports: |
insight, bayestestR |
| Suggests: |
AER, betareg, brms, covr, glmmTMB, lme4, loo, Matrix, MASS, mlogit, nlme, ordinal, pscl, psych, randomForest, rmarkdown, rstanarm, rstantools, see, survival, testthat |
| Published: |
2019-06-04 |
| Author: |
Daniel Lüdecke  [aut, cre],
Dominique Makowski [aut, ctb],
Philip Waggoner [aut, 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 |
| Materials: |
README NEWS |
| CRAN checks: |
performance results |