control.prior: Priors specification

In barryrowlingson/PrevMap: Geostatistical Modelling of Spatially Referenced Prevalence Data

Description

This function is used to define priors for the model parameters of a Bayesian geostatistical model.

Usage

control.prior(beta.mean, beta.covar, log.prior.sigma2 = NULL,
  log.prior.phi = NULL, log.prior.nugget = NULL, uniform.sigma2 = NULL,
  log.normal.sigma2 = NULL, uniform.phi = NULL, log.normal.phi = NULL,
  uniform.nugget = NULL, log.normal.nugget = NULL)

Arguments

beta.mean	mean vector of the Gaussian prior for the regression coefficients.
beta.covar	covariance matrix of the Gaussian prior for the regression coefficients.
log.prior.sigma2	a function corresponding to the log-density of the prior distribution for the variance sigma2 of the Gaussian process. Warning: if a low-rank approximation is used, then sigma2 corresponds to the variance of the iid zero-mean Gaussian variables. Default is NULL.
log.prior.phi	a function corresponding to the log-density of the prior distribution for the scale parameter of the Matern correlation function; default is NULL.
log.prior.nugget	optional: a function corresponding to the log-density of the prior distribution for the variance of the nugget effect; default is NULL with no nugget incorporated in the model; default is NULL.
uniform.sigma2	a vector of length two, corresponding to the lower and upper limit of the uniform prior on sigma2. Default is NULL.
log.normal.sigma2	a vector of length two, corresponding to the mean and standard deviation of the distribution on the log scale for the log-normal prior on sigma2. Default is NULL.
uniform.phi	a vector of length two, corresponding to the lower and upper limit of the uniform prior on phi. Default is NULL.
log.normal.phi	a vector of length two, corresponding to the mean and standard deviation of the distribution on the log scale for the log-normal prior on phi. Default is NULL.
uniform.nugget	a vector of length two, corresponding to the lower and upper limit of the uniform prior on tau2. Default is NULL.
log.normal.nugget	a vector of length two, corresponding to the mean and standard deviation of the distribution on the log scale for the log-normal prior on tau2. Default is NULL.

Value

a list corresponding the prior distributions for each model parameter.

Author(s)

Emanuele Giorgi [e-mail]

Peter J. Diggle [e-mail]

See Also

See "Priors definition" in the Details section of the binomial.logistic.Bayes function.

barryrowlingson/PrevMap documentation built on May 11, 2019, 6:24 p.m.