A guide to comparing survey sample demographics with national population data using R, covering both classical and Bayesian statistical methods.
A technical guide on using R, brms, and marginaleffects packages to perform conjoint analysis for statistical research.
A tutorial on performing Bayesian proportion tests for categorical survey data using R and the {brms} package.
A statistical analysis using R and Bayesian modeling to convert Aragorn's Dúnedan age from Lord of the Rings into equivalent human years, based on Tolkien's writings.
Explains the differences between Bayesian posterior predictions, linear predictions, and expected predictions using R, brms, and Stan.
A technical guide to implementing Bayesian hurdle lognormal and Gaussian regression models in R for analyzing data with many zero values.
A tutorial on implementing a nearly fully Bayesian causal inference model using inverse probability weights with R, brms, and Stan.
Explores the challenges and a proposed method for combining Bayesian inference with propensity scores and inverse probability weights for causal analysis.
A technical guide on using Bayesian multilevel models with R and brms to analyze country-year panel (time-series cross-sectional) data.
A technical guide on calculating posterior predictions and average marginal effects for multilevel Bayesian models using R and brms.
A guide to using Bayesian beta and zero-inflated beta regression models in R to correctly analyze proportion data.
