Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Chen Dong, Michel Wedel
Title: BANOVA: An R Package for Hierarchical Bayesian ANOVA
Abstract: In this paper, we develop generalized hierarchical Bayesian ANOVA, to assist experimental researchers in the behavioral and social sciences in the analysis of experiments with within- and between-subjects factors. The method alleviates several limitations of classical ANOVA, still commonly employed in those fields of research. An accompanying R Package for BANOVA is developed. It offers statistical routines and several easy-to-use functions for estimation of hierarchical Bayesian ANOVA models that are tailored to the analysis of experimental research. MCMC simulation is used to simulate posterior samples of the parameters of each model specified by the user. The core program is written in R and JAGS. After preparing the data in the required format, users simply select an appropriate model, and can estimate it without any advanced coding being required. The main aim of the R package is to offer freely accessible resources for hierarchical Bayesian ANOVA analysis, which makes it easy to use for applied researchers.

Page views:: 5041. Submitted: 2014-07-04. Published: 2017-11-13.
Paper: BANOVA: An R Package for Hierarchical Bayesian ANOVA     Download PDF (Downloads: 4046)
BANOVA_1.0.0.tar.gz: R source package Download (Downloads: 194; 124KB)
v81i09.R: R replication code Download (Downloads: 219; 2KB)

DOI: 10.18637/jss.v081.i09

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.