ibr (version 2.0-2)

summary.ibr: Summarizing iterative bias reduction fits

Description

summary method for class “ibr”.

Usage

"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

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

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)