fields (version 4.3)

summary.Krig: Summary for Krig spatial process estimate

Description

Creates a list of summary results including estimates for the nugget variance (sigma) and the smoothing parameter (lambda). This list is usually printed using print.summary.Krig.

Usage

## S3 method for class 'Krig':
summary(object, digits=4,...)

Value

Gives a summary of the Krig object. The components include the function call, number of observations, effective degrees of freedom, residual degrees of freedom, root mean squared error, R-squared and adjusted R-squared, log10(lambda), cost, GCV minimum and a summary of the residuals.

Details

This function is a method for the generic function summary for class Krig. The results are formatted and printed using print.summary.Krig.

See Also

Krig, summary, print.summary.Krig

Examples

fit<- Krig(ozone$x, ozone$y, theta=100)  
summary(fit)                            # summary of fit