brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
-
Updated
Nov 8, 2024 - R
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
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
🚫 ↩️ A document that introduces Bayesian data analysis.
An R package for extracting results from mixed models that are easy to use and viable for presentation.
👓 Functions related to R visualizations
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
Course Content for PSCI 3300 Political Science Research Methods
Workshop on using Mixed Models with R
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).
R package to run Bayesian MMRMs using {brms}
OpenBRMS is a cloud native business rules management system with scripted rules
REST server + UI for Rulette
Add a description, image, and links to the brms topic page so that developers can more easily learn about it.
To associate your repository with the brms topic, visit your repo's landing page and select "manage topics."