ibr-package {ibr} | R Documentation |
an R package for multivariate smoothing using Iterative Bias Reduction smoother.
hat y=S_k y =(I - (I-S)^k)y,
where S is the pilot smoother which can be either a kernel or a thin plate spline smoother. In case of a kernel smoother, the kernel is built as a product of univariate kernels.
K
to minimize the criterion (GCV,
AIC, AICc, BIC or gMDL)."k"
or thin plate splines "tps"
)
plus the values of bandwidths (kernel)
or λ thin plate splines). As the choice of these raw
values depend on each particular dataset, one
can rely on effective degrees of freedom or default values given as degree of
freedom, see argument df
of the main function ibr
.Index of functions to be used by end user:
ibr: Iterative bias reduction smoothing plot.ibr: Plot diagnostic for an ibr object predict.ibr: Predicted values using iterative bias reduction smoothers print.summary.ibr: Printing iterative bias reduction summaries summary.ibr: Summarizing iterative bias reduction fits
Pierre-Andre Cornillon, Nicolas Hengartner, Eric Matzner-Lober
Maintainer: Pierre-Andre Cornillon <pierre-andre.cornillon@supagro.inra.fr>
## Not run: data(ozone, package = "ibr") res.ibr <- ibr(ozone[,-1],ozone[,1],smoother="k",df=1.1) summary(res.ibr) predict(res.ibr) plot(res.ibr) ## End(Not run)