bayesurvey-package: Bayesian Conjugate Prior Analysis of Survey Data
In balexanderstats/bayesurvey: Bayesian Conjugate Prior Analysis of Survey Data

Description Author(s) References Examples

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..

Brittany Alexander

Maintainer: Brittany Alexander <brittany@stat.tamu.edu>

Poll-Based Bayesian Models to Predict United States Presidential Elections". B. Alexander, L. Ellingson, Joint Statistical Meetings Proceedings 2019.

  ## Not run: 
     ## Optional simple examples of the most important functions
     ## These can be in \dontrun{} and \donttest{} blocks.   
  
## End(Not run)

balexanderstats/bayesurvey documentation built on Sept. 20, 2020, 11:40 a.m.