brms

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

Bayesian analysis + tidy data + geoms (R package)

The ebook lives here: https://solomon.quarto.pub/sr/

Covers the basics of mixed models, mostly using @lme4

PHP Rule Engine - Parses & Evaluates JavaScript-like expressions

worked R examples

A pragmatic business rule management system

Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth

🚫 ↩️ A document that introduces Bayesian data analysis.

Kumi is a declarative rules-and-calculation DSL for Ruby that staticaly analyzes and compiles your business logic.

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

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

Course Content for PSCI 3300 Political Science Research Methods

Run standard t-tests, simulations, and Bayesian difference in means tests with R and Stan

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

Workshop on using Mixed Models with R

R package to run Bayesian MMRMs using {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).