compare-methods: Compare two models, with respect to some data

In BayesFactor: Computation of Bayes Factors for Common Designs

Compare two models, with respect to some data

Description

This method is used primarily in the backend, and will only rarely be called by the end user. But see the examples below for a demonstration.

Usage

compare(numerator, denominator, data, ...)

Arguments

numerator	first model
denominator	second model (if omitted, compare to predefined null)
data	data for the comparison
...	arguments passed to and from related methods

Value

The compare function will return a model comparison object, typically a Bayes factor

Examples

## Sample from the posteriors for two models
data(puzzles)

## Main effects model; result is a BFmcmc object, inheriting
## mcmc from the coda package
mod1 = lmBF(RT ~ shape + color + ID, data = puzzles, whichRandom = "ID",
   progress = FALSE, posterior = TRUE, iterations = 1000)

plot(mod1)

## Full model
mod2 = lmBF(RT ~ shape*color + ID, data = puzzles, whichRandom = "ID",
   progress = FALSE, posterior = TRUE, iterations = 1000)

## Each BFmcmc object contains the model used to generate it, so we
## can compare them (data is not needed, it is contained in the objects):

compare(mod1, mod2)

BayesFactor documentation built on May 29, 2024, 3:09 a.m.