Extract Parameter Estimates from a "RiskMap" Model Fit
coef.RiskMap.RdThis coef method for the "RiskMap" class extracts the
maximum likelihood estimates from model fits obtained from the glgpm function.
Usage
# S3 method for class 'RiskMap'
coef(object, ...)Arguments
- object
An object of class "RiskMap" obtained as a result of a call to
glgpm.- ...
other parameters.
Value
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.
Details
The function processes the RiskMap object to extract and name the estimated parameters appropriately, transforming them if necessary.
Note
This function handles both Gaussian and non-Gaussian families, and accounts for fixed and random effects in the model.