R: Continue Sampling

continue {bamlss} | R Documentation

## 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.

### See Also

`bamlss`

### 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)

[Package bamlss version 1.1-6 Index]