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

Bayesian analysis + tidy data + geoms (R package)

Covers the basics of mixed models, mostly using @lme4

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

👓 Functions related to R visualizations

Bindings for Bayesian TidyModels

Workshop on using Mixed Models with R

R package to run Bayesian MMRMs using {brms}

Applied modelling in drug development: flexible Bayesian regression modelling in Stan via brms

Demonstration of alternatives to lme4

A quick reference for how to run many models in R.

An R package providing a GUI ('shiny' app) for the R package 'brms'.

R stats TalTech 2019 programme

Manuscript on estimating latent means models with R & brms

Workshop to introduce participants to rstanarm and brms.

Population-level infectious disease modelling as an extension of brms.

Workshop materials for learnB4SS

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

📝 Statistical Rethinking colearning 2024

Complementary repository with data and code for Wolf & Tollefsen, 2021.