Generic function to extract samples from objects.

## Generic.
samples(object, ...)

## Method for "bamlss" objects.
# S3 method for bamlss
samples(object, model = NULL, term = NULL,
combine = TRUE, drop = TRUE, burnin = NULL,
thin = NULL, coef.only = FALSE, ...)

## Arguments

object An object for which samples should be extracted. Character or integer, specifies the model for which samples should be extracted. Character or integer, specifies the term for which samples should be extracted. Samples stored as a mcmc.list, e.g., when a model is estimated on multiple cores, can be combined into one large sample matrix. If there is only one model for which samples should be extracted, should the list structure be dropped? Integer, specifies the number of samples that should be withdrawn as a burn-in phase. Integer, specifies the step length of samples that should be extracted, e.g., thin = 10 mean that only every 10th sample is returned. Logical, should only samples of model coefficients be returned? Other arguments.

bamlss.

## Examples

# NOT RUN {
## Generate data.
d <- GAMart()

## Estimate model.
b <- bamlss(num ~ s(x1) + s(x2) + s(x3), data = d)

## Extract samples for "s(x2)".
sa <- samples(b, term = "s(x2)")
# }