GlmSimulatoR: 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.

Package details

AuthorGreg McMahan
MaintainerGreg McMahan <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the GlmSimulatoR package in your browser

Any scripts or data that you put into this service are public.

GlmSimulatoR documentation built on Aug. 12, 2019, 9:04 a.m.