summary.Krig.Rd
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\name{summary.Krig}
\alias{summary.Krig}
\title{
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{
\method{summary}{Krig}(object, digits=4,...)
}
\arguments{
\item{object}{
A Krig or spatialProcess object.
}
\item{digits}{
Number of significant digits in summary.
}
\item{\dots}{Other arguments to summary}
}
\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.
}
\seealso{
Krig, summary, print.summary.Krig, summary.spatialProcess
}
\examples{
fit<- Krig(ChicagoO3$x, ChicagoO3$y, aRange=100)
summary(fit) # summary of fit
}
\keyword{spatial}
% docclass is function
% Converted by Sd2Rd version 1.21.