BFBayesFactor-class: General S4 class for representing multiple Bayes factor model...
In BayesFactor: Computation of Bayes factors for common designs

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

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

## 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)

Loading required package: coda
Loading required package: Matrix
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Welcome to BayesFactor 0.9.12-4.2. If you have questions, please contact Richard Morey (richarddmorey@gmail.com).

Type BFManual() to open the manual.
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Bayes factor analysis
--------------
[1] shape + ID : 2.853267 <U+00B1>1.72%

Against denominator:
  RT ~ ID 
---
Bayes factor type: BFlinearModel, JZS

Bayes factor analysis
--------------
[1] ID : 0.3504755 <U+00B1>1.72%

Against denominator:
  RT ~ shape + ID 
---
Bayes factor type: BFlinearModel, JZS

Bayes factor analysis
--------------
[1] shape + ID : 1.012727 <U+00B1>1.99%

Against denominator:
  RT ~ color + ID 
---
Bayes factor type: BFlinearModel, JZS

         denominator
numerator shape + ID color + ID shape + color + ID
       ID  0.3504755  0.3549359         0.08450643
         denominator
numerator shape + color + shape:color + ID
       ID                        0.2342931