ShinyBHB: A Shiny App for Bayesian Historical Borrowing in Large-Scale Assessments

• In Event: Innovation Demonstration I

Abstract

ShinyBHB is a comprehensive application package built on the R package Shiny to implement Bayesian historical borrowing for single-level, multilevel, and longitudinal data. It covers Bayesian models with no borrowing, pooling, aggregated data priors, power priors, commensurate priors, and dynamic priors, with flexible model building and various output formats available.

Authors

• Weicong Lyu, UNIVERSITY OF MACAU

• Shaojie Ye, Pinterest

• Jianshen Chen, COLLEGE BOARD

• Sinan Yavuz, University of Wisconsin-Madison

• David Kaplan, University of Wisconsin - Madison