For the past few years (quickly approaching a decade), a colleague and I started scraping information about college football coaches to explore the question, which coach should the University of Minnesota hire. This project started, as most interesting project do, at happy hour one day debating who should be hired to replace Tim Brewster, the latest college football coaching disaster at the University of Minnesota.
The simglm package has an update on CRAN bumping the version up to 0.6.0. This update has added the ability to simulate count data (poisson) and also has fixed (I think) the Shiny app that comes with the package. As I have not posted about this package since the first CRAN release (v 0.5.0), I plan to give an overview of all that the package offers in addition to the new additions.
This is a quick note looking for any further feedback on the simglm package prior to CRAN submission later this week. The goal is to submit Thursday or Friday this week. The last few documentation finishing touches are happening now working toward a version 0.5.0 release on CRAN.
For those who have not seen this package yet, the aim is to simulate regression models (single level and multilevel models) as well as employ empirical power analyses based on Monte Carlo simulation.