summary.ibr: Summarizing iterative bias reduction fits

In ibr: Iterative Bias Reduction

Description

summary method for class “ibr”.

Usage

## S3 method for class 'ibr'
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

Author(s)

Pierre-Andre Cornillon, Nicolas Hengartner and Eric Matzner-Lober.

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. (2017) Iterative Bias Reduction Multivariate Smoothing in R: The ibr Package. Journal of Statistical Software, 77, 1–26.

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)

ibr documentation built on May 2, 2019, 8:22 a.m.