summary method for the class "PrevMap" that computes the standard errors and p-values of likelihood-based model fits.
# S3 method for PrevMap.ps
summary(object, log.cov.pars = TRUE, ...)an object of class "PrevMap.ps" obatained as result of a call to lm.ps.MCML.
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.
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.