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BANOVA (version 1.2.1)

Hierarchical Bayesian ANOVA Models

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) .

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Version

Install

install.packages('BANOVA')

Monthly Downloads

482

Version

1.2.1

License

GPL (>= 2)

Maintainer

Chen Dong

Last Published

June 21st, 2022

Functions in BANOVA (1.2.1)

BANOVA.mediation

Mediation analysis based on BANOVA models
BANOVA.Binomial

Estimation of BANOVA with a Binomial dependent variable
BANOVA.T

Estimation of BANOVA with T-distributin of the dependent variable
BANOVA.Bernoulli

Estimation of BANOVA with a Bernoulli dependent variable
BANOVA.Normal

Estimation of BANOVA with a normally distributed dependent variable
BANOVA.Multinomial

Estimation of BANOVA with a Multinomial dependent variable
BANOVA.build

Build BANOVA models
BANOVA.floodlight

Floodlight analysis based on BANOVA models
BANOVA-package

BANOVA: Hierarchical Bayesian ANOVA Models
BANOVA.Poisson

Estimation of BANOVA with Poisson dependent variables
pairs.BANOVA

Create a matrix of output plots from a BANOVA object
table.predictions

Function to print the table of means
BAnova

Function to print the table of effect sizes
BANOVA.simple

Simple effects calculation
condstudy_sub

A subset of data for the study of how brand attitudes were influenced by showing brands together with pleasant pictures
bernlogtime

Data for analysis of effects of typicality, blur and color on gist perception of ads
conv.diag

Function to display the convergence diagnostics
bpndata

Eye-movement data for analysis of print ad designs
BANOVA.multi.mediation

Mediation analysis with multiple possibly correlated mediators
ipadstudy

Data for the study of relation between Conspicuous, Brand Usage, Self-Brand Connection and attitudes toward the brand
goalstudy

Data for the study of the impact of the variety among means on motivation to pursue a goal
BANOVA.model

Extract BANOVA models
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
BANOVA.run

Estimation of BANOVA models
table.pvalues

Function to print the table of p-values
BANOVA.ordMultinomial

Estimation of BANOVA with a ordered Multinomial response variable
trace.plot

Function to plot the trace of parameters
condstudy

Data for the study of how brand attitudes were influenced by showing brands together with pleasant pictures