estimGibbs: Wrapper function for Gibbs sampler

In ick003/SpTMixture: Mixture models with spatio-temporal dependencies

Description

Wrapper function for Gibbs sampler

Usage

estimGibbs(df.sptmod, method = "simple", priors = NULL, mixture = TRUE,
  N.run = 10000, beta.range = c(0.5, 3), print.res = FALSE,
  debug = FALSE, meanFunc = NULL, Xcov = NULL)

Arguments

df.sptmod	model data
method	method to be used
mixture	boolean. Is the model a mixture model.
N.run	Number of runs of the sampler.
beta.range	Range of beta for Potts.
print.res	logical. printing or not the steps values.
theta.init	prior mean of the parameters

Examples

data("wq_analysis_week2")
SPTMData(wq.raw.obs, frequency = "quarter")

ick003/SpTMixture documentation built on May 18, 2019, 2:32 a.m.