glmm

Diagnostics for HierArchical Regession Models

An R package for spatial and spatiotemporal GLMMs with TMB

Generalized linear mixed-effect model in Python

A unified framework for data analysis with GLM/GLMM in R

Material for a workshop on Bayesian stats with R

The material for a course on Statistics for ecologists I teach every year to Master students.

This repository collects various small code snippets or short instructions on how to use or define specific mixed models, mostly with packages lme4 and glmmTMB.

Functions for phylogenetic analyses

CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

Gene-level general linear mixed model

A tutorial on generalized linear mixed models in R

R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup

Second year of the workshop series on biological statistics in R at RSB, ANU.

Power analysis by simulation — any design from t-test to mixed models, in your browser, on your desktop, or in Python and R.

Implementing a Generalized Linear Mixed Effects Model (GLMM) on a Before-After-Control-Impact (BACI) study design related to coastal dune restoration

R package for cell type abundance association analysis for single cell data.

Material for a workshop "Introduction to Bayesian statistics with R"

Fit GLMM with brms

Generalised joint models of survival and multivariate longitudinal data