Utilities for field trial analysis.

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

Tools and Statistical Procedures in Plant Science

Analyses of Memory Contextualization Task in SAM study

Semantic model of LMM analysis

Analyses of saliva Alpha-Amylase and Cortisol in SAM study

Analyses of Fear Generalization Task in SAM study

R code for the Shiny app that accompanies the Annual Review paper by Judd, Westfall, & Kenny (2016)

R codes and data sets for Linear Mixed Models. An Introduction with applications in Veterinary Research by Duchateau, L. and Janssen, P. and Rowlands, G. J.

Power Analysis of Generalised Linear Mixed Models by Simulation

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

MUltivaRiate MUlti-level Regression

Repo for Feb 2018 version of Broadening Your Statistical Horizons

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.

Virtual Inteligent Robot Assistant

Statistical Functions for Regression Models

This R package implements some machine learning methods for longitudinal and clustered data based on the standard generalized linear mixed effect model, regression trees, and generalized boosted machines.

An R package for computation of model R squared and semi-partial R squared (with confidence limits) in linear and generalized linear mixed models