A short introduction to basic multilevel modelling syntax in R (using lme4, brms or rstanarm).
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.
How to combine the functionality from both the Tidymodels framework and Caret to build models that combine the best of both worlds.
How (and why) to learn basic package development in R, for data scientists.
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.