Explainers
Detailed walkthroughs of statistical models and methods, primarily written for students doing their honours projects, but available to anyone who wants them.
Models & Concepts
Course materials covering the theory and application of Generalised Linear Models, from model structure through to interpretation. Part of the PGR course series.
A walkthrough of occupancy modelling for ecologists working with presence/absence data where detection is imperfect. Covers the theory and implementation in R.
A detailed explainer covering the theory and R implementation of Structural Topic Models for text analysis. Written to be accessible to researchers without a machine learning background.
An introduction to robust design mark-recapture for estimating population size and demographic parameters from capture history data.