summary.Bayes.PrevMap: Summarizing Bayesian model fits

In PrevMap: Geostatistical Modelling of Spatially Referenced Prevalence Data

Description

summary method for the class "Bayes.PrevMap" that computes the posterior mean, median, mode and high posterior density intervals using samples from Bayesian fits.

Usage

## S3 method for class 'Bayes.PrevMap'
summary(object, hpd.coverage = 0.95, ...)

Arguments

object	an object of class "Bayes.PrevMap" obatained as result of a call to binomial.logistic.Bayes or linear.model.Bayes.
hpd.coverage	value of the coverage of the high posterior density intervals; default is 0.95.
...	further arguments passed to or from other methods.

Value

A list with the following values

linear: logical value that is TRUE if a linear model was fitted and FALSE otherwise.

binary: logical value that is TRUE if a binary model was fitted and FALSE otherwise.

probit: logical value that is TRUE if a binary model with probit link function was fitted and FALSE if with logistic link function.

ck: logical value that is TRUE if a low-rank approximation was fitted and FALSE otherwise.

beta: matrix of the posterior summaries for the regression coefficients.

sigma2: vector of the posterior summaries for sigma2.

phi: vector of the posterior summaries for phi.

tau2: vector of the posterior summaries for tau2.

call: matched call.

kappa: fixed value of the shape paramter of the Matern covariance function.

Author(s)

Emanuele Giorgi [e-mail]

Peter J. Diggle [e-mail]

PrevMap documentation built on Oct. 7, 2021, 5:07 p.m.