Bayesian Modeling in R

Overview

Comprehensive Bayesian statistical modeling using Stan-based packages (brms, rstanarm), covering prior specification, posterior analysis, model comparison, and Bayesian workflow best practices.

brms: Bayesian Regression Models

Basic Models

library(brms)

# Linear regression
fit <- brm(
  formula = y ~ x1 + x2,
  data = df,
  family = gaussian(),
  seed = 123
)

# Logistic regression
fit_logit <- brm(
  y ~ x1 + x2,
  data = df,
  family = ber

[Description truncada. Veja o README completo no GitHub.]