summary method for the class "PrevMap" that computes the standard errors and p-values of likelihood-based model fits.
# S3 method for PrevMap
summary(object, log.cov.pars = TRUE, ...)an object of class "PrevMap" obatained as result of a call to binomial.logistic.MCML or linear.model.MLE.
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
linear: logical value; linear=TRUE if a linear model was fitted and linear=FALSE otherwise.
poisson: logical value; poisson=TRUE if a Poisson model was fitted and poisson=FALSE otherwise.
ck: logical value; ck=TRUE if a low-rank approximation was used and ck=FALSE otherwise.
spde: logical value; spde=TRUE if the SPDE approximation was used and spde=FALSE otherwise.
coefficients: matrix of the estimates, standard errors and p-values of the estimates of the regression coefficients.
cov.pars: matrix of the estimates and standard errors of the covariance parameters.
log.lik: value of likelihood function at the maximum likelihood estimates.
kappa: fixed value of the shape paramter of the Matern covariance function.
kappa.t: fixed value of the shape paramter of the Matern covariance function for the temporal covariance matrix, if a spatio-temporal model has been fitted.
fixed.rel.nugget: fixed value for the relative variance of the nugget effect.
call: matched call.