R: Extract Parameter Estimates from a "RiskMap" Model Fit

coef.RiskMap {RiskMap}

R Documentation

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.

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

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

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

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.

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