95

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) ), used in the computation of marginal means, contrast analysis and predictions.

News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("modelbased")

0.5.1 by Dominique Makowski, a month ago

https://easystats.github.io/modelbased/

Report a bug at https://github.com/easystats/modelbased/issues

Browse source code at https://github.com/cran/modelbased

Authors: Dominique Makowski [aut, cre] , Daniel Lüdecke [aut] , Mattan S. Ben-Shachar [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports insight, bayestestR, parameters, emmeans, graphics, stats, utils

Suggests brms, coda, dplyr, effectsize, gganimate, gamm4, ggplot2, glmmTMB, knitr, lme4, logspline, Matrix, MASS, merTools, mgcv, rmarkdown, rstanarm, see, testthat

Suggested by bayestestR, effectsize, see.

See at CRAN

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug