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

Samples for using Corticon.js decision services.

Workshop on applied bayesian modelling in R with brms

Higson - Motor Insurance Demo App. This is a sample application to demonstrate capabilities of Higson.io library (Java Business Rules Engine (BRE)/Java Pricing Engine). The application demonstrates responsive quotations for Car/Motor Insurance based on decision tables and Rhino functions (for math calculations).

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worked R examples

Bindings for Bayesian TidyModels

R package to run Bayesian MMRMs using {brms}

A repository for the "Cognate beginnings to bilingual lexical acquisition" study

Bayesian analysis + tidy data + geoms (R package)

PriorDB aims to make choosing a prior for a Bayesian model easier

Available R-Packages for Gaussian Process Regression

A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling. GPU support using OpenCL is available.

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

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

📝 Statistical Rethinking colearning 2024

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

Ordinal Cumulative Hurdle Logit Model

Manuscript on estimating latent means models with R & brms

learnB4SS workshop homepage