Summary for Krig or spatialProcess estimated models.
Creates a list of summary results including estimates for the nugget variance (sigma) and the smoothing parameter (lambda). This list is usually printed using a "print.summary" function for nice formatting.
## S3 method for class 'Krig' summary(object, digits=4,...)
object |
A Krig or spatialProcess object. |
digits |
Number of significant digits in summary. |
... |
Other arguments to summary |
This function is a method for the generic function summary for class Krig. The results are formatted and printed using print.summary.Krig.
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.
Krig, summary, print.summary.Krig, summary.spatialProcess
fit<- Krig(ChicagoO3$x, ChicagoO3$y, theta=100) summary(fit) # summary of fit
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