Description Usage Arguments Value Author(s)
summary
method for the class "PrevMap" that computes the standard errors and p-values of likelihood-based model fits.
1 2 |
object |
an object of class "PrevMap.ps" obatained as result of a call to |
log.cov.pars |
logical; if |
... |
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.
Emanuele Giorgi e.giorgi@lancaster.ac.uk
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