brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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Updated
Dec 17, 2024 - R
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
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
A unified framework for data analysis with GLM/GLMM in R
powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.
Repository for the OpenMx Structural Equation Modeling package
An R package for Bayesian structural equation modeling
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
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