summary.PrevMap.ps: Summarizing fits of geostatistical linear models with...

In PrevMap: Geostatistical Modelling of Spatially Referenced Prevalence Data

Description

summary method for the class "PrevMap" that computes the standard errors and p-values of likelihood-based model fits.

Usage

## S3 method for class 'PrevMap.ps'
summary(object, log.cov.pars = TRUE, ...)

Arguments

object	an object of class "PrevMap.ps" obatained as result of a call to lm.ps.MCML.
log.cov.pars	logical; if log.cov.pars=TRUE the estimates of the covariance parameters are given on the log-scale. Note that standard errors are also adjusted accordingly. Default is log.cov.pars=TRUE.
...	further arguments passed to or from other methods.

Value

A list with the following components

coefficients.response: matrix of the estimates, standard errors and p-values of the estimates of the regression coefficients for the response variable.

coefficients.intensity: matrix of the estimates, standard errors and p-values of the estimates of the regression coefficients for the sampling intenisty of the log-Gaussian process.

cov.pars.response: matrix of the estimates and standard errors of the covariance parameters for the Gaussian process associated with the response.

cov.pars.intenisty: matrix of the estimates and standard errors of the covariance parameters for the Gaussian process associated with the log-Gaussian process.

log.lik: value of likelihood function at the maximum likelihood estimates.

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

call: matched call.

Author(s)

Emanuele Giorgi [e-mail]

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