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

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 ORCID iD [aut, cre], Daniel Lüdecke ORCID iD [aut], Mattan S. Ben-Shachar ORCID iD [aut], Indrajeet Patil ORCID iD [aut]
Maintainer: Dominique Makowski <dom.makowski at gmail.com>
BugReports: https://github.com/easystats/modelbased/issues
License: GPL-3
URL: https://easystats.github.io/modelbased/
NeedsCompilation: no
Language: en-US
Citation: modelbased citation info
Materials: README NEWS
In views: CausalInference
CRAN checks: modelbased results

Documentation:

Reference manual: modelbased.pdf
Vignettes: Overview of Vignettes (source, R code)

Downloads:

Package source: modelbased_0.8.9.tar.gz
Windows binaries: r-devel: modelbased_0.8.9.zip, r-release: modelbased_0.8.9.zip, r-oldrel: modelbased_0.8.9.zip
macOS binaries: r-release (arm64): modelbased_0.8.9.tgz, r-oldrel (arm64): modelbased_0.8.9.tgz, r-release (x86_64): modelbased_0.8.9.tgz, r-oldrel (x86_64): modelbased_0.8.9.tgz
Old sources: modelbased archive

Reverse dependencies:

Reverse imports: easystats, see
Reverse suggests: bayestestR, datawizard, insight, marginaleffects, rempsyc, report

Linking:

Please use the canonical form https://CRAN.R-project.org/package=modelbased to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.