I’m not writing to convince you that you should use R to teach simulation-based inference (SBI). My goal is to convince you that you can use R for SBI, even with students (and instructors) who have never used R before. Along the way I’ll mention some guiding principles and illustrate some tools that my colleagues Danny Kaplan and Nick Horton and I have assembled in the
mosaic R package to make SBI (and EDA and traditional inference procedures) much easier.
The biggest key to using R well is to provide a lot of creative opportunity with as little R as possible.