Provides a summary method for the "RiskMap" class that computes the standard errors and p-values for likelihood-based model fits.
# S3 method for RiskMap
summary(object, ..., conf_level = 0.95)A list containing:
A matrix with the estimates, standard errors, z-values, p-values, and confidence intervals for the regression coefficients.
A matrix with the estimates and confidence intervals for the measurement error variance, if applicable.
A matrix with the estimates and confidence intervals for the spatial process parameters.
The fixed nugget variance, if applicable.
A matrix with the estimates and confidence intervals for the random effects variances, if applicable.
The confidence level used for the intervals.
The family of the model (e.g., "gaussian").
The kappa parameter of the model.
The log-likelihood of the model fit.
A logical indicating if a covariance offset was used.
The Akaike Information Criterion (AIC) for the model, if applicable.
An object of class "RiskMap" obtained as a result of a call to glgpm.
other parameters.
The confidence level for the intervals (default is 0.95).
Emanuele Giorgi e.giorgi@lancaster.ac.uk
Claudio Fronterre c.fronterr@lancaster.ac.uk
This function computes the standard errors and p-values for the parameters of a "RiskMap" model, adjusting for the covariance structure if needed.
glgpm, coef.RiskMap