summary.Krig: Summary for Krig or spatialProcess estimated models.
Description
Creates a list of summary results including estimates for the nugget
variance (tau) and the smoothing
parameter (lambda). This list is usually printed using a "print.summary"
function for nice formatting.
Usage
# S3 method for 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.
Arguments
object
A Krig or spatialProcess object.
digits
Number of significant digits in summary.
...
Other arguments to summary
Details
This function is a method for the generic function summary for class
Krig. The results are formatted and printed using print.summary.Krig.