bamlss: continue – R documentation

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continue

Continue Sampling

Description

This function takes a bamlss object which was created using a sampler function and continues sampling from the last state of the MCMC chain.

Usage

continue(object, cores = NULL, combine = TRUE,
  sleep = NULL, results = TRUE, ...)

Arguments

`object`	A `bamlss` object which contains samples.
`cores`	An integer specifying the number of cores that should be used for the sampler function. This is based on function `mclapply` of the parallel package.
`combine`	Should the new samples be combined with the old samples into one `mcmc` matrix? Note that if `combine = FALSE` and the number of iterations differ from one sampling step to the other there will be an error since the start and end points in the samples `mcmc` objects are different!
`sleep`	Time the system should sleep before the next core is started.
`results`	If a results function was used to create the `bamlss` object, should the results function be applied using the new samples?
`...`	Arguments passed to the sampler function.

Value

A bamlss object.

Examples

## Not run: ## Simulate and run model with MCMC.
set.seed(123)
d <- GAMart()
b <- bamlss(num ~ s(x1) + s(x2) + s(x3) + te(lon,lat), data = d)

## Continue sampling.
a <- continue(b)

## Plot all samples.
plot(a, which = "samples")

## End(Not run)

bamlss

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

v1.1-3

GPL-2 | GPL-3

Authors

Nikolaus Umlauf [aut, cre] (<https://orcid.org/0000-0003-2160-9803>), Nadja Klein [aut] (<https://orcid.org/0000-0002-5072-5347>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Meike Koehler [ctb], Thorsten Simon [aut] (<https://orcid.org/0000-0002-3778-7738>), Stanislaus Stadlmann [ctb]

Initial release

2021-01-25