ibr (version 1.4.5)

predict.ibr: 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"), ...)

Value

Produces a vector of predictions.

References

Cornillon, P.-A.; Hengartner, N.; Jegou, N. and Matzner-Lober, E. (2012) Iterative bias reduction: a comparative study. Statistics and Computing. Doi: 10.1007/s11222-012-9346-4

Cornillon, P.-A.; Hengartner, N. and Matzner-Lober, E. (2013) Recursive bias estimation for multivariate regression smoothers Recursive bias estimation for multivariate regression smoothers. ESAIM: Probability and Statistics. Doi: http://dx.doi.org/10.1051/ps/2013046

See Also

ibr, summary.ibr

Examples

data(ozone, package = "ibr")
res.ibr <- ibr(ozone[,-1],ozone[,1],df=1.2,K=1:500)
summary(res.ibr)
predict(res.ibr)