OpenBRMS is a cloud native business rules management system with scripted rules
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Updated
May 25, 2024 - Java
OpenBRMS is a cloud native business rules management system with scripted rules
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
📝 Statistical Rethinking colearning 2024
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
R package to run Bayesian MMRMs using {brms}
Bayesian analysis + tidy data + geoms (R package)
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).
Materials for a 3 to 4 hour workshop on Bayesian Statistics using the R package `brms`
Ordinal Cumulative Hurdle Logit Model
Samples for using Corticon.js decision services.
An R package providing a GUI ('shiny' app) for the R package 'brms'.
This repository corresponds to the sar system main brms.
Manuscript on estimating latent means models with R & brms
A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling
A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling. GPU support using OpenCL is available.
This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at http://doi.org/10.17605/OSF.IO/UERYQ.
R code for Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety
A repository for the "Cognate beginnings to bilingual lexical acquisition" study
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