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

Bayesian analysis + tidy data + geoms (R package)

The bookdown version lives here: https://bookdown.org/content/3890

PHP Rule Engine - Parses & Evaluates JavaScript-like expressions

A pragmatic business rule management system

🚫 ↩️ A document that introduces Bayesian data analysis.

👓 Functions related to R visualizations

Helper functions for brmsfit objects (DEPRECATED)

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

Workshop on using Mixed Models with R

Demonstration of alternatives to lme4

Hyperon - Motor Insurance Demo App. This is a sample application to demonstrate capabilities of Hyperon.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). It shows different possible business rules configuration and overall BRMS performance as well.

A quick reference for how to run many models in R.

REST server + UI for Rulette

R stats TalTech 2019 programme

An R package for extracting results from mixed models that are easy to use and viable for presentation.

Business Rules Integration Engine

RHDM 7.7.1 demo - loan pre-approval decision service for Quick Loan Bank

Quick Loan Bank UI is an example demo invoking a decision service based on Red Hat Decision Manager 7.

Deployment of kjar into the KIE-Server

Workshop to introduce participants to rstanarm and brms.

BRMS [Drools] :: BRMS Decision Tables Lessons Learned

Are You Sure You're Sure? - Effects of Visual Representation on the Cliff Effect in Statistical Inference

scikit-learn wrapper for generalized linear mixed model methods in R

BRMS (Drools) Rules Example application to deploy as KJar into Kie-Server

Docker images for R

Using Configuration oriented build tool Apache Maven for Build and Release Management

Jboss Business central Docker project

This repository contains the Business Automaton parent.

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