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paul-buerkner /brms

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

multilevel-models bayesian-inference stan brms r-package statistical-models

UpdatedDec 16, 2025
R

tidybayes

mjskay /tidybayes

Bayesian analysis + tidy data + geoms (R package)

visualization ggplot2 r tidy-data stan brms r-package bayesian-data-analysis jags

UpdatedSep 17, 2024
R

ASKurz /Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse

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

tidyverse regression bayesian-inference brms rethinking

UpdatedJan 26, 2023
HTML

m-clark /mixed-models-with-R

Covers the basics of mixed models, mostly using@lme4

r multilevel-models brms linear-mixed-models covariance variance-components mixed-models random-effects lme4 hierarchical-linear-models random-intercepts random-slopes generalized-linear-mixed-models crossed-random-effects nested-random-effects nlme glmmtmb

UpdatedJan 30, 2022
R

nicoSWD /php-rule-parser

PHP Rule Engine - Parses & Evaluates JavaScript-like expressions

php parser workflow rule-engine dsl evaluator brms rule-parser business-rules rule-system php-rule-engine

UpdatedOct 10, 2025
PHP

julianfaraway /rexamples

worked R examples

r bayesian-inference stan brms inla mgcv mixed-effects-models

UpdatedOct 18, 2024
Stan

kislayverma /Rulette

A pragmatic business rule management system

rules rule-engine brms rules-engine business-rules rule-system rule-manager

UpdatedJun 21, 2022
Java

vasishth /bayescogsci

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

linguistics psychology stan brms bayesian-data-analysis

UpdatedFeb 13, 2025
HTML

m-clark /bayesian-basics

🚫 ↩️ A document that introduces Bayesian data analysis.

r bayesian-methods rstan bayesian bayesian-inference stan brms rstanarm mcmc regression-models likelihood bayesian-data-analysis hamiltonian-monte-carlo bayesian-statistics bayesian-analysis posterior-probability metropolis-hastings gibbs prior posterior-predictive

UpdatedFeb 21, 2022
Stan

amuta /kumi

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

ruby rails ruby-gem framework dsl dependency-graph declarative-language brms rules-engine business-rules-engine

UpdatedNov 16, 2025
Ruby

m-clark /mixedup

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

brms variance-components mixed-models mgcv random-effects lme4 nlme random-coefficients glmmtmb

UpdatedOct 11, 2022
R

m-clark /visibly

👓 Functions related to R visualizations

visualization r heatmap gam stan brms r-package palettes mixed-models ggplot2-themes mgcv random-effects plotly-theme adjacent coefficients complementary colorgorical triadic tetradic mermod

UpdatedOct 28, 2020
R

bayesian

hsbadr /bayesian

Bindings for Bayesian TidyModels

bayesian stan brms tidymodels

UpdatedDec 15, 2025
R

nicholasjclark /physalia-forecasting-course

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

forecasting multilevel-models stan brms generalised-linear-models generalized-additive-models mgcv time-series-analysis ecological-modelling generalised-additive-models vector-autoregression mvgam

UpdatedMar 28, 2025
HTML

ajnafa /psci-3300-political-science-research

Course Content for PSCI 3300 Political Science Research Methods

r statistics course political-science bayesian-inference stan brms causal-inference

UpdatedDec 19, 2022
HTML

andrewheiss /diff-means-half-dozen-ways

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

r inference stan brms

UpdatedJun 13, 2023
Stan

m-clark /mixed-models-with-r-workshop-2019

Workshop on using Mixed Models with R

r brms variance-components mixed-models random-effects lme4 nlme random-coefficients glmmtmb

UpdatedFeb 7, 2019
R

bamdd

Novartis /bamdd

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

clinical bayesian stan brms

UpdatedOct 21, 2025
HTML

higson-io /business-rules-motor-insurance

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).

java brms decision-trees rules-engine car-insurance pricing-calculation motor-insurance

UpdatedOct 13, 2025
Java

openpharma /brms.mmrm

R package to run Bayesian MMRMs using {brms}

r statistics stan brms life-sciences mc-stan mmrm

UpdatedJul 31, 2025
R

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