A Cheatsheet for Building Mutilevel Models in R

A short introduction to basic multilevel modelling syntax in R (using lme4, brms or rstanarm).

November 1, 2022 · 12 min · 2544 words

Resources for Learning Bayesian Statistics

Learning Bayesian statistics is hard enough already, so maybe I can help make that journey very slightly easier for someone else by pointing them to some of the best resources I’ve come across.

May 10, 2022 · 8 min · 1603 words

Combining Tidymodels & Caret for Machine Learning in R

How to combine the functionality from both the Tidymodels framework and Caret to build models that combine the best of both worlds.

May 7, 2022 · 6 min · 1159 words

Make More Packages!

How (and why) to learn basic package development in R, for data scientists.

February 19, 2022 · 7 min · 1294 words

Making Myself Accountable

Setting myself a goal to try and write one blog post a month for the whole of 2022, so that I can come back to it and assess just how much I missed my target by at the end of the year.

January 17, 2022 · 1 min · 213 words