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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:0.13.1
Depends:R (≥ 4.0)
Imports:bayestestR (≥ 0.17.0),datawizard (≥ 1.3.0),insight (≥1.4.3),parameters (≥ 0.28.3), graphics, stats, tools, utils
Suggests:afex,BH,betareg,boot,bootES,brglm2,brms,coda,collapse,correlation,coxme,curl,discovr,easystats,effectsize (≥ 1.0.0),emmeans (≥ 1.10.2),Formula,gamm4,gganimate,ggplot2,glmmTMB (≥ 1.1.12),httr2,knitr,lme4,lmerTest,logspline,MASS,MatchIt,Matrix,marginaleffects (≥0.29.0),mice,mgcv,mvtnorm,nanoparquet,nnet,ordinal,palmerpenguins,performance (≥ 0.14.0),patchwork,pbkrtest,poorman,pscl,RcppEigen,Rdatasets,report,rmarkdown,rstanarm,rtdists,RWiener,sandwich,scales,see (≥ 0.11.0),survival,testthat (≥ 3.2.1),tinyplot (≥ 0.6.0),tinytable,vdiffr,withr
Published:2025-12-08
DOI:10.32614/CRAN.package.modelbased
Author:Dominique MakowskiORCID iD [aut, cre], Daniel LüdeckeORCID iD [aut], Mattan S. Ben-ShacharORCID iD [aut], Indrajeet PatilORCID iD [aut], Rémi ThériaultORCID iD [aut]
Maintainer:Dominique Makowski <officialeasystats 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.html ,modelbased.pdf
Vignettes:Overview of Vignettes (source,R code)

Downloads:

Package source: modelbased_0.13.1.tar.gz
Windows binaries: r-devel:modelbased_0.13.1.zip, r-release:modelbased_0.13.1.zip, r-oldrel:modelbased_0.13.1.zip
macOS binaries: r-release (arm64):modelbased_0.13.1.tgz, r-oldrel (arm64):modelbased_0.13.1.tgz, r-release (x86_64):modelbased_0.13.1.tgz, r-oldrel (x86_64):modelbased_0.13.1.tgz
Old sources: modelbased archive

Reverse dependencies:

Reverse imports:AssumpSure,easystats,see
Reverse suggests:bayestestR,datawizard,ggeffects,insight,marginaleffects,parameters,performance,rempsyc,report

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=modelbasedto link to this page.


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