Simulate Models Based on the Generalized Linear Model

Easily simulates regression models, including both simple regression and generalized linear mixed models with up to three level of nesting. Power simulations that are flexible allowing the specification of missing data, unbalanced designs, and different random error distributions are built into the package.


Reference manual

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0.6.0 by Brandon LeBeau, 2 months ago

Browse source code at

Authors: Brandon LeBeau [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Depends on stats, Matrix, dplyr, purrr, tidyr, tibble

Suggests knitr, lme4, nlme, testthat, shiny, e1071, ggplot2

See at CRAN