BayesFactor (version 0.9.0)

recompute: Take an object and redo the computation (useful for sampling)

Description

Take an object and redo the computation (useful for sampling)

Arguments

x

object to recompute

progress

report progress of the computation?

...

arguments passed to and from related methods

Value

• Returns an object of the same type, after repeating the sampling (perhaps with more iterations)

Examples

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

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

## recompute Bayes factor object
recompute(bf, iterations = 1000, progress = FALSE)

## Sample from posterior distribution of model above, and recompute:
chains = posterior(bf, iterations = 1000, progress = FALSE)
newChains = recompute(chains, iterations = 1000, progress=FALSE)