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

an R package for structural equation modeling and more

rstanarm R package for Bayesian applied regression modeling

A meta-analysis package for R

📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

Covers the basics of mixed models, mostly using @lme4

A unified framework for data analysis with GLM/GLMM in R

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.

An R package for Bayesian structural equation modeling

Repository for the OpenMx Structural Equation Modeling package

Spatial Modelling for Data Scientists

An extensive multi-vendor e-commerce application with endless features and modules and a dedicated API with Passport authentication

Material for a Bayesian statistics workshop

Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

metaSEM package

Tools for multiple imputation in multilevel modeling

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

📈 Useful notes and personal collections on statistics.

🎓 Tidy multilevel modeling tools for academics