Creates Ideal Data for Generalized Linear Models

Have you ever struggled to find "good data" for a generalized linear model? Would you like to test how quickly statistics converge to parameters, or learn how picking different link functions affects model performance? This package creates ideal data for both common and novel generalized linear models so your questions can be empirically answered.


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install.packages("GlmSimulatoR")

0.1.0 by Greg McMahan, 12 days ago


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


Authors: Greg McMahan


Documentation:   PDF Manual  


GPL-3 license


Imports assertthat, stats, purrr, stringr, dplyr, statmod, magrittr, rlang, ggplot2, MASS

Suggests testthat, knitr, rmarkdown


See at CRAN