print.summary.ibr: Printing iterative bias reduction summaries

Description Usage Arguments Value Author(s) References See Also Examples

Description

print method for class “summary.ibr”.

Usage

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## S3 method for class 'summary.ibr'
print(x,displaybw=FALSE, digits =
max(3, getOption("digits") - 3), ...)

Arguments

x

Object of class ibr.

displaybw

Boolean that indicates if bandwidth are printed or not.

digits

Rounds the values in its first argument to the specified number of significant digits.

...

Further arguments passed to or from other methods.

Value

The function print.summary.ibr prints a list of summary statistics of the fitted iterative bias reduction model given in x.

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, 23, 777-791.

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, 18, 483-502.

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

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## 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.