balexanderstats/bayesurvey: Bayesian Conjugate Prior Analysis of Survey Data

This package implements Bayesian conjugate prior models with a focus on handling survey data with multiple categories. It starts by normalizing and transforming the data, then fits prior distributions, and runs a conjugate prior analysis that can be iterative. While many of the functions are designed for categorical data, the conjugate prior functions work with any type of data.

Getting started

Package details

AuthorBrittany Alexander
MaintainerBrittany Alexander <brittany@stat.tamu.edu>
LicenseGPL (>= 2)
Version1.4
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("balexanderstats/bayesurvey")
balexanderstats/bayesurvey documentation built on Sept. 20, 2020, 11:40 a.m.