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

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

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

Gene-level general linear mixed model

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

A tutorial on generalized linear mixed models in R

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

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

Bayesian version of the R package influ (https://github.com/trophia/influ) for use with brms models

Generalised joint models of survival and multivariate longitudinal data

Fit GLMM with brms

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.

Supervised Component Generalised Linear Regression for mixed models