brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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Updated
Sep 12, 2024 - R
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
Workshop on using Mixed Models with R
R package to run Bayesian MMRMs using {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'.
Workshop to introduce participants to rstanarm and brms.
Manuscript on estimating latent means models with R & brms
Population-level infectious disease modelling as an extension of brms.
Workshop materials for learnB4SS
Complementary repository with data and code for Wolf & Tollefsen, 2021.
📝 Statistical Rethinking colearning 2024
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