samples.gmrfdpgrow

object

provides posterior sampled values for every model parameter of a
<code>gmrfdpgrow</code> object

Estimates a collection of time-indexed functions under
    either of Gaussian process (GP) or intrinsic Gaussian Markov
    random field (iGMRF) prior formulations where a Dirichlet process
    mixture allows sub-groupings of the functions to share the same
    covariance or precision parameters.  The GP and iGMRF formulations
    both support any number of additive covariance or precision terms,
    respectively, expressing either or both of multiple trend and
    seasonality.

samples.gmrfdpgrow: Produce samples of MCMC output

Description

Usage

Arguments