A simple list of my tutorials hosted on GitHub

An R package that brings great flexibility to the estimation of change points between Generalized Linear Segments. Extensive documentation and worked examples are available on the website.

Demonstrates that almost all of the stats 101 tests are special cases of (simple) linear models, including “non-parametric” tests to some approximation. To establish this, I simulated the rank-correspondence between parametric tests and non-parametric equivalents:

- Kruskal-Wallis is (almost) a one-way ANOVA on ranked data
- Mann-Whitney is (almost) an independent-sample t-test on ranks
- Spearman is (almost) a Pearson on ranks
- Wilcoxon is (almost) a one-sample t-test on signed ranks

A simple and scalable three-step procedure to apply utility theory to regression.

A cheat sheet and a bunch of shiny applets to show various reaction-time friendly distributions and how to fit them using brms. I installed a Shiny server on Google Cloud to get it running.