samples: Extract Samples

In bamlss: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)

Extract Samples

Description

Generic function to extract samples from objects.

Usage

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

## Method for "bamlss" objects.
## S3 method for class '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.
model	Character or integer, specifies the model for which samples should be extracted.
term	Character or integer, specifies the term for which samples should be extracted.
combine	Samples stored as a mcmc.list, e.g., when a model is estimated on multiple cores, can be combined into one large sample matrix.
drop	If there is only one model for which samples should be extracted, should the list structure be dropped?
burnin	Integer, specifies the number of samples that should be withdrawn as a burn-in phase.
thin	Integer, specifies the step length of samples that should be extracted, e.g., thin = 10 mean that only every 10th sample is returned.
coef.only	Logical, should only samples of model coefficients be returned?
...	Other arguments.

See Also

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)")
head(sa)

## Trace plot.
plot(sa)

## End(Not run)

bamlss documentation built on Oct. 11, 2024, 5:07 p.m.