predict.ibr {ibr} | R Documentation |
Predicted values from iterative bias reduction object.
Missing values are not allowed.
## S3 method for class 'ibr': predict(object, newdata, interval= c("none", "confidence", "prediction"), ...)
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. |
Produces a vector of predictions.
Pierre-Andre Cornillon, Nicolas Hengartner and Eric Matzner-Lober.
Cornillon, P. A., Hengartner, N. and Matzner-Lober, E. (2009) Recursive Bias Estimation for high dimensional regression smoothers. submitted.
## 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)