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.


Reference manual

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0.7.0 by Dominique Makowski, 6 months ago

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Authors: Dominique Makowski [aut, cre] , @Dom_Makowski) , Daniel Lüdecke [aut] , @strengejacke) , Mattan S. Ben-Shachar [aut] , @mattansb) , Indrajeet Patil [aut] , @patilindrajeets)

Documentation:   PDF Manual  

GPL-3 license

Imports graphics, stats, utils, bayestestR, effectsize, insight, parameters, performance

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

Suggested by bayestestR, datawizard, see.

See at CRAN