modelbased: Estimation of Model-Based Predictions, Contrasts and Means

Implements a general interface for model-based estimations for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), used in the computation of marginal means, contrast analysis and predictions.

Version: 0.7.0
Imports: graphics, stats, utils, bayestestR (≥ 0.10.0), effectsize (≥ 0.4.5), insight (≥ 0.14.1), parameters (≥ 0.14.0), performance
Suggests: brms, coda, correlation, dplyr, emmeans (≥ 1.5.3), gamm4, gganimate, ggplot2, glmmTMB, knitr, lme4, logspline, MASS, Matrix, merTools, mgcv, rmarkdown, rstanarm, rtdists, see, testthat, spelling
Published: 2021-06-06
Author: Dominique Makowski ORCID iD [aut, cre] (@Dom_Makowski), Daniel Lüdecke ORCID iD [aut] (@strengejacke), Mattan S. Ben-Shachar ORCID iD [aut] (@mattansb), Indrajeet Patil ORCID iD [aut] (@patilindrajeets)
Maintainer: Dominique Makowski <dom.makowski at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Citation: modelbased citation info
Materials: README NEWS
CRAN checks: modelbased results


Reference manual: modelbased.pdf


Package source: modelbased_0.7.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): modelbased_0.7.0.tgz, r-release (x86_64): modelbased_0.7.0.tgz, r-oldrel: modelbased_0.7.0.tgz
Old sources: modelbased archive

Reverse dependencies:

Reverse suggests: bayestestR, datawizard, see


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