glmmtmb

Covers the basics of mixed models, mostly using @lme4

An R package for extracting results from mixed models that are easy to use and viable for presentation.

Workshop on using Mixed Models with R

📈🌱 Mixed Models for Agriculture in R

Quick Guide for Modelling Count Data in A Multilevel Framework

Demonstration of alternatives to lme4

Materials and source code for my MSc thesis: "Studying Network Variants With Electroencephalography"

Model-neutral influence diagnostics and standardised CPUE indices for fisheries models in R.

R code & data for the analysis of the environmental impact of a "run-of-river" hydropower plant on the riverine ecosystem of the Saldur stream, a glacier-fed stream located in the Italian Central-Eastern Alps.

dyadMLM: Tools for Dyadic Multilevel Models

Reproducible analysis (R + Quarto) for the delay–probability asymmetry in the discounting of delayed, probabilistic rewards — Myerson, Green, Vanderveldt & Wan. Data on OSF (6cetp).

Predicting insecticide use across Canada

Change in agrochemicals across Canada over the last 35 years

Assessing the impacts of heat on low birth weight: evidence from low- and middle-income countries

R Practical Using MAIHDA