BANOVA: Hierarchical Bayesian ANOVA Models

It covers several Bayesian Analysis of Variance (BANOVA) models used in analysis of experimental designs in which both within- and between- subjects factors are manipulated. They can be applied to data that are common in the behavioral sciences and related fields. The package includes: Hierarchical Bayes ANOVA models with normal response, t response, Binomial(Bernoulli) response, Poisson response, ordered multinomial response and multinomial response variables. All models accommodate unobserved heterogeneity by including a normal distribution of the parameters across individuals. Outputs of the package include tables of sums of squares, effect sizes and p-values, and tables of means, which are easily interpretable for behavioral researchers. BANOVA uses JAGS as the computational platform.

Version: 0.7
Depends: R (≥ 3.0.1), rjags (≥ 3-13), runjags (≥ 1.2.1-0), coda (≥ 0.16-1)
Published: 2016-08-25
Author: Chen Dong, Michel Wedel
Maintainer: Chen Dong <cdong at math.umd.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2460286
NeedsCompilation: no
SystemRequirements: JAGS >= 4.1.0 (http://mcmc-jags.sourceforge.net)
Materials: NEWS
CRAN checks: BANOVA results

Downloads:

Reference manual: BANOVA.pdf
Package source: BANOVA_0.7.tar.gz
Windows binaries: r-devel: BANOVA_0.7.zip, r-release: BANOVA_0.7.zip, r-oldrel: BANOVA_0.7.zip
OS X Mavericks binaries: r-release: BANOVA_0.7.tgz, r-oldrel: BANOVA_0.7.tgz
Old sources: BANOVA archive

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