summary.ibr {ibr} | R Documentation |
summary
method for class “ibr
”.
## S3 method for class 'ibr': summary(object, criteria="call", ...)
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. |
The function summary.ibr
computes and returns a list of summary
statistics of the fitted iterative bias reduction smoother given in object
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) summary(res.ibr) predict(res.ibr) ## End(Not run)