BANOVA: Hierarchical Bayesian ANOVA Models

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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.

Author
Chen Dong, Michel Wedel
Date of publication
2016-08-25 09:59:02
Maintainer
Chen Dong <cdong@math.umd.edu>
License
GPL (>= 2)
Version
0.7
URLs

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Man pages

BAnova
Function to print the table of effect sizes
BANOVA.Bern
Estimation of BANOVA with a Bernoulli dependent variable
BANOVA.Bin
Estimation of BANOVA with a Binomial dependent variable
BANOVA.Multinomial
Estimation of BANOVA with a Multinomial dependent variable
BANOVA.Normal
Estimation of BANOVA with a normally distributed dependent...
BANOVA.ordMultinomial
Estimation of BANOVA with a ordered Multinomial response...
BANOVA-package
BANOVA: Hierarchical Bayesian ANOVA Models
BANOVA.Poisson
Estimation of BANOVA with Poisson dependent variables
BANOVA.T
Estimation of BANOVA with T-distributin of the dependent...
bernlogtime
Data for analysis of effects of typicality, blur and color on...
bpndata
Eye-movement data for analysis of print ad designs
choicedata
Household Panel Data on Margarine Purchases
colorad
Data for gist perception of advertising, study 1
colorad2
Data for gist perception of advertising, study 2
conv.diag
Function to display the convergence diagnostics
goalstudy
Data for the study of the impact of the variety among means...
ipadstudy
Data for the study of relation between Conspicuous, Brand...
table.means
Function to print the table of means
table.pvalues
Function to print the table of p-values
trace.plot
Function to plot the trace of parameters

Files in this package

BANOVA
BANOVA/NAMESPACE
BANOVA/NEWS
BANOVA/data
BANOVA/data/bernlogtime.rdata
BANOVA/data/choicedata.rdata
BANOVA/data/bpndata.rdata
BANOVA/data/colorad2.rdata
BANOVA/data/colorad.rdata
BANOVA/data/ipadstudy.rdata
BANOVA/data/goalstudy.rdata
BANOVA/R
BANOVA/R/predict.BANOVA.Bern.R
BANOVA/R/JAGSgen.normalNormal.R
BANOVA/R/table.pvalue.R
BANOVA/R/BANOVA.TNormal.R
BANOVA/R/print.summary.BANOVA.Poisson.R
BANOVA/R/conv.geweke.heidel.R
BANOVA/R/print.table.means.R
BANOVA/R/est.multi.R
BANOVA/R/JAGSgen.ordmultiNormal.R
BANOVA/R/BANOVA.BernNormal.R
BANOVA/R/BANOVA.MultiNormal.R
BANOVA/R/print.BANOVA.Normal.R
BANOVA/R/JAGSgen.multiNormal.R
BANOVA/R/rowMatch.R
BANOVA/R/JAGSgen.TNormal.R
BANOVA/R/JAGSgen.bernNormal.R
BANOVA/R/predict.means.R
BANOVA/R/summary.BANOVA.ordMultinomial.R
BANOVA/R/predict.BANOVA.ordMultinomial.R
BANOVA/R/get.interactions.R
BANOVA/R/table.pvalues.R
BANOVA/R/JAGSgen.PNormal.R
BANOVA/R/table.coefficients.R
BANOVA/R/BANOVA.NormalNormal.R
BANOVA/R/table.ANOVA.R
BANOVA/R/predict.BANOVA.Bin.R
BANOVA/R/BANOVA.PNormal.R
BANOVA/R/multi.effect.matrix.interaction.R
BANOVA/R/summary.BANOVA.T.R
BANOVA/R/print.summary.BANOVA.Multinomial.R
BANOVA/R/table.means.R
BANOVA/R/mean.center.R
BANOVA/R/BANOVA.T.R
BANOVA/R/est.R
BANOVA/R/predict.BANOVA.Poisson.R
BANOVA/R/BANOVA.Multinomial.R
BANOVA/R/BAnova.R
BANOVA/R/predict.BANOVA.T.R
BANOVA/R/print.BANOVA.Bern.R
BANOVA/R/print.BANOVA.T.R
BANOVA/R/conv.diag.R
BANOVA/R/JAGSgen.binNormal.R
BANOVA/R/effect.matrix.factor.R
BANOVA/R/print.BANOVA.ordMultinomial.R
BANOVA/R/print.summary.BANOVA.Bin.R
BANOVA/R/print.summary.BANOVA.Bern.R
BANOVA/R/BANOVA.Bern.R
BANOVA/R/summary.BANOVA.Multinomial.R
BANOVA/R/print.summary.BANOVA.ordMultinomial.R
BANOVA/R/summary.BANOVA.Normal.R
BANOVA/R/print.summary.BANOVA.T.R
BANOVA/R/predict.BANOVA.Multinomial.R
BANOVA/R/est_pred.R
BANOVA/R/print.BANOVA.Bin.R
BANOVA/R/multi.design.matrix.R
BANOVA/R/BANOVA.Poisson.R
BANOVA/R/print.summary.BANOVA.Normal.R
BANOVA/R/BANOVA.BinNormal.R
BANOVA/R/print.conv.diag.R
BANOVA/R/predict.BANOVA.Normal.R
BANOVA/R/summary.BANOVA.Bern.R
BANOVA/R/effect.matrix.interaction.R
BANOVA/R/print.BANOVA.Multinomial.R
BANOVA/R/print.BANOVA.Poisson.R
BANOVA/R/BANOVA.Normal.R
BANOVA/R/BANOVA.ordMultiNormal.R
BANOVA/R/BANOVA.Bin.R
BANOVA/R/trace.plot.R
BANOVA/R/traceplot.R
BANOVA/R/table.ANCOVA.R
BANOVA/R/get.values.R
BANOVA/R/pValues.R
BANOVA/R/printCoefmat.R
BANOVA/R/design.matrix.R
BANOVA/R/multi.print.table.means.R
BANOVA/R/summary.BANOVA.Bin.R
BANOVA/R/multi.predict.means.R
BANOVA/R/ssquares.R
BANOVA/R/summary.BANOVA.Poisson.R
BANOVA/R/multi.effect.matrix.factor.R
BANOVA/R/BANOVA.ordMultinomial.R
BANOVA/MD5
BANOVA/DESCRIPTION
BANOVA/man
BANOVA/man/conv.diag.Rd
BANOVA/man/colorad2.Rd
BANOVA/man/bpndata.Rd
BANOVA/man/BAnova.Rd
BANOVA/man/ipadstudy.Rd
BANOVA/man/BANOVA.Bern.Rd
BANOVA/man/trace.plot.Rd
BANOVA/man/choicedata.Rd
BANOVA/man/colorad.Rd
BANOVA/man/BANOVA.ordMultinomial.Rd
BANOVA/man/BANOVA.Bin.Rd
BANOVA/man/BANOVA.Multinomial.Rd
BANOVA/man/goalstudy.Rd
BANOVA/man/table.means.Rd
BANOVA/man/BANOVA-package.Rd
BANOVA/man/bernlogtime.Rd
BANOVA/man/BANOVA.Normal.Rd
BANOVA/man/BANOVA.T.Rd
BANOVA/man/BANOVA.Poisson.Rd
BANOVA/man/table.pvalues.Rd