gibbSPTMixed: Gibbs sampler with spatial Potts model for neighbouring...

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

Description

Gibbs sampler with sptial Potts model for neighbouring behaviours and random site effect.

Usage

gibbSPTMixed(priors = list(theta = list(m0 = 0, s0 = 1), sigma2 = list(a0 = 2,
  b0 = 1), cov = list(s0 = 0.1)), y, p.sites, season.sites, basis,
  Coords = NULL, Bds = NULL, ID, N.run = 10000, beta.range = c(0.5, 3),
  meanFunc = NULL, debug = FALSE, print.res = FALSE, Xcov = NULL, ...)

Arguments

y	data
p.sites	the composition of each site.
season.sites	season data for each site.
Coords	Coordinates of the sites.
Bds	Matrix of edges between sites.
ID	ID vector of the sites.
N.run	Number of run of the sampler.
beta.range	Range of beta for the Potts model.
theta	parameters to be estimated

Examples

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

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