TailoredBayes

Contains functions to perform Tailored Bayesian inference for binary classification. Markov Chain Monte Carlo (MCMC) is used to simulate the posterior. The output is a ‘coda’ mcmc object that can then be summarised using the coda package or similar ones.

Installation

# Install from GitHub
devtools::install_github("solonkarapa/TailoredBayes", build_vignettes = TRUE)

Usage

Get started with

library(TailoredBayes)

The main function of the package is metrop_tailor()

# Run to see the function documentation
?metrop_tailor

A vignette on using the package

# Run to see the vignette
browseVignettes("TailoredBayes")

Cite as

citation("TailoredBayes")