predict.ibr {ibr}R Documentation

Predicted values using iterative bias reduction smoothers

Description

Predicted values from iterative bias reduction object.
Missing values are not allowed.

Usage

## S3 method for class 'ibr':
predict(object, newdata, interval=
 c("none", "confidence", "prediction"), ...)

Arguments

object Object of class ibr.
newdata An optional matrix in which to look for variables with which to predict. If omitted, the fitted values are used.
interval Type of interval calculation. Only none is currently avalaible.
... Further arguments passed to or from other methods.

Value

Produces a vector of predictions.

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,K=1:500)
summary(res.ibr)
predict(res.ibr)
## End(Not run)

[Package ibr version 1.2 Index]