Introduction to Generalized Fiducial Inference

For questions, issues, or clarifications please reach out to Murph: acmurph@unc.edu.

Overview

Code implementations of the models discussed in Introduction to Generalized Fiducial Inference by A. Murph, J. Hannig, and J. Williams.

This repository is organized into four different directories; one for each of the major models discussed in the paper. We would expect the two RStan models to be of major interest to researchers (in the directories RandomEffectsModel and MVNModel) as well as the novel Binomial algorithms. We have also included all scripts used to make the visuals in the paper if one wishes to replicate them.

Packages Required

RStan, ggplot2, latex2exp, ggExtra, gridExtra, knitr, mvtnorm, matrixcalc, gtools, geigen, readr, dplyr, tidyr, lmerTest, BayesFactor

Citation

A. Murph, J. Hannig, and J. P. Williams (2021). Introduction to Generalized Fiducial Inference. Accepted to Chapman & Hall Handbook on Bayesian, Frequentist, and Fiducial Inference.