R: Summary for Krig or spatialProcess estimated models.

summary.Krig {fields} | R Documentation

## Summary for Krig or spatialProcess estimated models.

### 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 a "print.summary" function for nice formatting.

### Usage

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

### 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.

### 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.

### See Also

Krig, summary, print.summary.Krig

### Examples

    fit<- Krig(ChicagoO3$x, ChicagoO3$y, theta=100)
    summary(fit)                            # summary of fit

[Package fields version 9.6.1 Index]