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

In BayesFactor: Computation of Bayes factors for common designs

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)

BayesFactor documentation built on May 2, 2019, 5:54 p.m.