General S4 class for representing multiple Bayes factor model comparisons, all against the same model

Description

The BFBayesFactor class is a general S4 class for representing models model comparison via Bayes factor.

Usage

## S4 method for signature 'numeric,BFBayesFactor'
e1 / e2

## S4 method for signature 'BFBayesFactor,BFBayesFactor'
e1 / e2

## S4 method for signature 'BFBayesFactor,index,missing,missing'
x[i, j, ..., drop = TRUE]

## S4 method for signature 'BFBayesFactor'
t(x)

## S4 method for signature 'BFBayesFactor'
which.max(x)

## S4 method for signature 'BFBayesFactor'
which.min(x)

## S4 method for signature 'BFBayesFactor'
is.na(x)

## S4 method for signature 'BFBayesFactor,BFodds'
e1 * e2

## S4 method for signature 'BFBayesFactorTop,index,missing,missing'
x[i, j, ...,
  drop = TRUE]

Arguments

Details

BFBayesFactor objects can be inverted by taking the reciprocal and can be divided by one another, provided both objects have the same denominator. In addition, the t (transpose) method can be used to invert Bayes factor objects.

The BFBayesFactor class has the following slots defined:

numerator

a list of models all inheriting BFmodel, each providing a single denominator

denominator

a single BFmodel object serving as the denominator for all model comparisons

bayesFactor

a data frame containing information about the comparison between each numerator and the denominator

data

a data frame containing the data used for the comparison

version

character string giving the version and revision number of the package that the model was created in

Examples

## Compute some Bayes factors to demonstrate division and indexing
data(puzzles)
bfs <- anovaBF(RT ~ shape*color + ID, data = puzzles, whichRandom = "ID", progress=FALSE)

## First and second models can be separated; they remain BFBayesFactor objects
b1 = bfs[1]
b2 = bfs[2]
b1

## We can invert them, or divide them to obtain new model comparisons
1/b1
b1 / b2

## Use transpose to create a BFBayesFactorList
t(bfs)