samples

0th

Percentile

Extract Samples

Generic function to extract samples from objects.

Keywords
models, regression
Usage
## 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.

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Integer, specifies the number of samples that should be withdrawn as a burn-in phase.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.

Aliases
  • samples
  • samples.bamlss
  • samples.bamlss.frame
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)
# }
Documentation reproduced from package bamlss, version 1.1-2, License: GPL-2 | GPL-3

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