brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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Updated
Aug 27, 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
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