BANOVA: An R Package for Hierarchical Bayesian ANOVA

Journal of Statistical Software, Vol. 10, No. 2, 2014

Robert H. Smith School Research Paper No. RHS 2460286

33 Pages Posted: 30 Jun 2014

See all articles by Chen Dong

Chen Dong

University of Maryland - College of Computer, Mathematical and Natural Sciences

Michel Wedel

University of Maryland - Robert H. Smith School of Business

Date Written: June 28, 2014

Abstract

In this paper, we develop generalized hierarchical Bayesian ANOVA, to assist experimental researchers in the behavioral and social sciences in the analysis of the effects of experimentally manipulated within- and between-subjects factors. The method alleviates several limitations of classical ANOVA, still commonly employed in those fields. An accompanying R Package for hierarchical Bayesian ANOVA 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. Markov Chain Monte Carlo (MCMC) simulation is used to simulate posterior samples of the parameters of each model specified by the user. The core program of all models is written in R and JAGS. After preparing the data in the required format, users simply select an appropriate model, and estimate it without any advanced coding. 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 behavioral researchers.

Keywords: Hierarchical Bayes regression, ANOVA, Markov chain Monte Carlo, BUGS modeling

Suggested Citation

Dong, Chen and Wedel, Michel, BANOVA: An R Package for Hierarchical Bayesian ANOVA (June 28, 2014). Journal of Statistical Software, Vol. 10, No. 2, 2014, Robert H. Smith School Research Paper No. RHS 2460286, Available at SSRN: https://ssrn.com/abstract=2460286

Chen Dong (Contact Author)

University of Maryland - College of Computer, Mathematical and Natural Sciences ( email )

2300 Symons Hall,
University of Maryland
College Park, MD 20742-3255
United States

Michel Wedel

University of Maryland - Robert H. Smith School of Business ( email )

College Park, MD 20742-1815
United States

HOME PAGE: http://www.rhsmith.umd.edu/directory/michel-wedel

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