continue: Continues the sampler from where it stopped

In BNSP: Bayesian Non- And Semi-Parametric Model Fitting

Continues the sampler from where it stopped

Description

Allows the user to continue the sampler from the state it stopped in the previous call to mvrm.

Usage

continue(object, sweeps, burn = 0, thin, discard = FALSE,...)

Arguments

object	An object of class "mvrm", usually a result of a call to mvrm.
sweeps	The number of additional sweeps, maintaining the same thinning interval as specified in the original call to mvrm.
burn	length of burn-in period. Defaults to zero.
thin	thinning parameter. Defaults to the thinning parameter chosen for object.
discard	If set to true, the previous samples are discarded.
...	other arguments.

Details

The function allows the sampler to continue from the state it last stopped.

Value

The function returns an object of class mvrm.

Author(s)

Georgios Papageorgiou [e-mail]

See Also

mvrm

Examples

#see \code{mvrm} example

BNSP documentation built on May 31, 2023, 7:05 p.m.