summary.ibr {ibr}R Documentation

Summarizing iterative bias reduction fits

Description

summary method for class “ibr”.

Usage

## S3 method for class 'ibr':
summary(object,  criteria="call", ...)

Arguments

object Object of class ibr.
criteria Character string which gives the criteria evaluated for the model. The criteria available are GCV (default, "gcv"), AIC ("aic"), corrected AIC ("aicc"), BIC ("bic") or gMDL ("gmdl"). The string "call" return the criterion used in the call of ibr.
... Further arguments passed to or from other methods.

Value

The function summary.ibr computes and returns a list of summary statistics of the fitted iterative bias reduction smoother given in object

Author(s)

Pierre-Andre Cornillon, Nicolas Hengartner and Eric Matzner-Lober.

References

Cornillon, P. A., Hengartner, N. and Matzner-Lober, E. (2009) Recursive Bias Estimation for high dimensional regression smoothers. submitted.

See Also

ibr, summary.ibr

Examples

## Not run: 
data(ozone, package = "ibr")
res.ibr <- ibr(ozone[,-1],ozone[,1],df=1.2)
summary(res.ibr)
predict(res.ibr)
## End(Not run)

[Package ibr version 1.2 Index]