💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

Effect size measures and significance tests

An R package for experimental psychologists

Covers the basics of mixed models, mostly using @lme4

Extended Joint Models for Longitudinal and Survival Data

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

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

👓 Functions related to R visualizations

GLMMs with adaptive Gaussian quadrature

Bayesian estimation of the finishing skill of football players

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.

A random-forest-based approach for imputing clustered incomplete data

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

A workshop on using generalized additive models and the mgcv package.

Workshop on using Mixed Models with R

Statistics for MINC volumes: A library to integrate voxel-based statistics for MINC volumes into the R environment. Supports getting and writing of MINC volumes, running voxel-wise linear models, correlations, etc.; correcting for multiple comparisons using the False Discovery Rate, and more. With contributions from Jason Lerch, Chris Hammill, J…

Gene-level general linear mixed model

asremlPlus is an R package that augments the use of 'ASReml-R' and 'ASReml4-R' in fitting mixed models

🎓 Tidy multilevel modeling tools for academics