mcmc.control: Defines options for the MCMC-algorithm

In geoRglm: A Package for Generalised Linear Spatial Models

Description

This auxiliary function defines options for the MCMC-algorithm used by pois.krige.bayes, binom.krige.bayes, binom.krige and pois.krige.

Usage

mcmc.control(S.scale, Htrunc, S.start, burn.in, thin, n.iter, phi.start,
             phi.scale)

Arguments

S.scale	proposal variance for the update of S in the algorithm.
Htrunc	truncation parameter for the MCMC-algorithm. Only used for the Poisson model. Either a number or a vector of the same dimension as the data. Default is Htrunc = 2*data + 5.
S.start	starting value for S (without the mean !!) in the MCMC-algorithm. Default value exist. Should either be a vector of the same length as the data, S.start="random", or S.start="default"
burn.in	length of the burn-in period. Default is 0.
thin	thinning: only every thin scan is stored. Default is thin=10.
n.iter	number of iterations performed. Default is n.iter=1000*thin.
phi.start	starting value for phi. Default is the median of prior$phi.discrete.
phi.scale	proposal variance for the update of phi in the algorithm.

Value

A list with processed arguments to be passed to the main function.

Author(s)

Ole F. Christensen [e-mail],
Paulo J. Ribeiro Jr. [e-mail].

See Also

pois.krige.bayes, binom.krige.bayes, binom.krige and pois.krige.

geoRglm documentation built on May 2, 2019, 4:03 p.m.