modelbased: Estimation of Model-Based Predictions, Contrasts and Means (original) (raw)
Implements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, see 'insight::supported_models()'.
Version:
0.8.9
Depends:
R (≥ 3.6)
Imports:
bayestestR (≥ 0.15.0), datawizard (≥ 0.13.0), effectsize (≥ 0.8.8), insight (≥ 0.20.5), parameters (≥ 0.22.2), performance (≥ 0.12.0), graphics, stats, utils
Suggests:
brms, coda, correlation, emmeans (≥ 1.10.2), gamm4, gganimate, ggplot2, glmmTMB, knitr, lme4, logspline, marginaleffects, mgcv, patchwork, poorman, report, rmarkdown, rstanarm, rtdists, see (≥ 0.8.4), testthat (≥ 3.2.1)
Published:
2024-10-26
DOI:
10.32614/CRAN.package.modelbased
Author:
Dominique Makowski
[aut, cre], Daniel Lüdecke [aut], Mattan S. Ben-Shachar [aut], Indrajeet Patil [aut]
Maintainer:
Dominique Makowski <dom.makowski at gmail.com>
BugReports:
https://github.com/easystats/modelbased/issues
License:
URL:
https://easystats.github.io/modelbased/
NeedsCompilation:
no
Language:
en-US
Citation:
Materials:
In views:
CRAN checks: