🌎 An R package for spatial and spatiotemporal GLMMs with TMB
Generalized linear mixed-effect model in Python
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.
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
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.
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
Material for a workshop "Introduction to Bayesian statistics with 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-East...