Extract Parameter Estimates from a "RiskMap" Model Fit

This coef method for the "RiskMap" class extracts the maximum likelihood estimates from model fits obtained from the glgpm function.

Usage

# S3 method for RiskMap
coef(object, ...)

object: An object of class "RiskMap" obtained as a result of a call to glgpm.
...: other parameters.

A list containing the maximum likelihood estimates:

beta: A vector of coefficient estimates.
sigma2: The estimate for the variance parameter \(\sigma^2\).
phi: The estimate for the spatial range parameter \(\phi\).
tau2: The estimate for the nugget effect parameter \(\tau^2\), if applicable.
sigma2_me: The estimate for the measurement error variance \(\sigma^2_{me}\), if applicable.
sigma2_re: A vector of variance estimates for the random effects, if applicable.

The function processes the RiskMap object to extract and name the estimated parameters appropriately, transforming them if necessary.

This function handles both Gaussian and non-Gaussian families, and accounts for fixed and random effects in the model.