ibr: summary.ibr – R documentation

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ibr

summary.ibr

Summarizing iterative bias reduction fits

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.

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

Iterative Bias Reduction

v2.0-3

GPL (>= 2)

Authors

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

Initial release

2017-04-28