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BANOVA  

Hierarchical Bayesian ANOVA Models
View on CRAN: Click here


Download and install BANOVA package within the R console
Install from CRAN:
install.packages("BANOVA")

Install from Github:
library("remotes")
install_github("cran/BANOVA")

Install by package version:
library("remotes")
install_version("BANOVA", "1.2.1")



Attach the package and use:
library("BANOVA")
Maintained by
Chen Dong
[Scholar Profile | Author Map]
First Published: 2014-06-27
Latest Update: 2022-06-21
Description:
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 and social sciences. 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 predictions, which are easily interpretable for behavioral and social researchers. The floodlight analysis and mediation analysis based on these models are also provided. BANOVA uses 'Stan' and 'JAGS' as the computational platform. References: Dong and Wedel (2017) ; Wedel and Dong (2020) .
How to cite:
Chen Dong (2014). BANOVA: Hierarchical Bayesian ANOVA Models. R package version 1.2.1, https://cran.r-project.org/web/packages/BANOVA. Accessed 03 May. 2025.
Previous versions and publish date:
0.1 (2014-06-27 18:40), 0.2 (2014-06-29 09:59), 0.4 (2016-03-25 09:09), 0.5 (2016-04-03 19:37), 0.6 (2016-08-01 14:01), 0.7 (2016-08-25 09:59), 0.8 (2016-12-16 08:33), 0.9.1 (2017-09-01 18:49), 0.9 (2017-07-07 07:09), 1.0.0 (2017-11-05 14:10), 1.1.0 (2018-01-09 12:23), 1.1.1 (2018-01-22 12:57), 1.1.2 (2019-01-27 07:00), 1.1.3 (2019-07-21 06:10), 1.1.4 (2019-08-24 19:10), 1.1.5 (2020-01-10 07:30), 1.1.6 (2020-01-15 23:40), 1.1.7 (2020-05-04 16:00), 1.1.8 (2020-08-07 09:52), 1.1.9 (2021-03-15 23:40), 1.2.0 (2021-04-27 06:20)
Other packages that cited BANOVA R package
View BANOVA citation profile
Other R packages that BANOVA depends, imports, suggests or enhances
Complete documentation for BANOVA
Functions, R codes and Examples using the BANOVA R package
Some associated functions: BANOVA-package . BANOVA.Bernoulli . BANOVA.Binomial . BANOVA.Multinomial . BANOVA.Normal . BANOVA.Poisson . BANOVA.T . BANOVA.build . BANOVA.floodlight . BANOVA.mediation . BANOVA.model . BANOVA.multi.mediation . BANOVA.ordMultinomial . BANOVA.run . BANOVA.simple . BAnova . bernlogtime . bpndata . choicedata . colorad . colorad2 . condstudy . condstudy_sub . conv.diag . goalstudy . ipadstudy . pairs.BANOVA . table.predictions . table.pvalues . trace.plot . 
Some associated R codes: BANOVA.Bern.R . BANOVA.BernNormal.R . BANOVA.Bin.R . BANOVA.BinNormal.R . BANOVA.MultiNormal.R . BANOVA.Multinomial.R . BANOVA.Normal.R . BANOVA.NormalNormal.R . BANOVA.PNormal.R . BANOVA.Poisson.R . BANOVA.T.R . BANOVA.TNormal.R . BANOVA.build.R . BANOVA.floodlight.R . BANOVA.mediation.R . BANOVA.model.R . BANOVA.multi.mediation.R . BANOVA.ordMultiNormal.R . BANOVA.ordMultinomial.R . BANOVA.run.R . BANOVA.simple.R . BAnova.R . JAGSgen.PNormal.R . JAGSgen.TNormal.R . JAGSgen.bernNormal.R . JAGSgen.binNormal.R . JAGSgen.multiNormal.R . JAGSgen.normalNormal.R . JAGSgen.ordmultiNormal.R . cal.flood.effects.R . cal.mediation.effects.R . cal.mediation.effects.individual.R . conv.diag.R . conv.geweke.heidel.R . design.matrix.R . effect.matrix.factor.R . effect.matrix.interaction.R . effect.matrix.mediator.R . est.R . est.multi.R . est_pred.R . floodlight.analysis.R . get.interactions.R . get.values.R . mean.center.R . multi.design.matrix.R . multi.effect.matrix.factor.R . multi.effect.matrix.interaction.R . multi.predict.means.R . multi.print.table.means.R . pValues.R . pairs.R . predict.BANOVA.Bern.R . predict.BANOVA.Bin.R . predict.BANOVA.Multinomial.R . predict.BANOVA.Normal.R . predict.BANOVA.Poisson.R . predict.BANOVA.R . predict.BANOVA.T.R . predict.BANOVA.ordMultinomial.R . predict.means.R . print.BANOVA.Bern.R . print.BANOVA.Bin.R . print.BANOVA.Multinomial.R . print.BANOVA.Normal.R . print.BANOVA.Poisson.R . print.BANOVA.R . print.BANOVA.T.R . print.BANOVA.floodlight.R . print.BANOVA.mediation.R . print.BANOVA.multi.mediation.R . print.BANOVA.ordMultinomial.R . print.ancova.effect.R . print.conv.diag.R . print.summary.BANOVA.Bern.R . print.summary.BANOVA.Bin.R . print.summary.BANOVA.Multinomial.R . print.summary.BANOVA.Normal.R . print.summary.BANOVA.Poisson.R . print.summary.BANOVA.R . print.summary.BANOVA.T.R . print.summary.BANOVA.ordMultinomial.R . print.table.means.R . printCoefmat.R . results.BANOVA.mlvNormal.R . rowMatch.R . ssquares.R . summary.BANOVA.Bern.R . summary.BANOVA.Bin.R . summary.BANOVA.Multinomial.R . summary.BANOVA.Normal.R . summary.BANOVA.Poisson.R . summary.BANOVA.R . summary.BANOVA.T.R . summary.BANOVA.ordMultinomial.R . table.ANCOVA.R . table.ANOVA.R . table.coefficients.R . table.predictions.R . table.pvalue.R . table.pvalues.R . trace.plot.R . traceplot.R . util.R .  Full BANOVA package functions and examples
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