Package: RBF 2.1.1

RBF: Robust Backfitting

A robust backfitting algorithm for additive models based on (robust) local polynomial kernel smoothers. It includes both bounded and re-descending (kernel) M-estimators, and it computes predictions for points outside the training set if desired. See Boente, Martinez and Salibian-Barrera (2017) <doi:10.1080/10485252.2017.1369077> and Martinez and Salibian-Barrera (2021) <doi:10.21105/joss.02992> for details.

Authors:Matias Salibian-Barrera [aut, cre], Alejandra Martinez [aut]

RBF_2.1.1.tar.gz
RBF_2.1.1.zip(r-4.7)RBF_2.1.1.zip(r-4.6)RBF_2.1.1.zip(r-4.5)
RBF_2.1.1.tgz(r-4.6-x86_64)RBF_2.1.1.tgz(r-4.6-arm64)RBF_2.1.1.tgz(r-4.5-x86_64)RBF_2.1.1.tgz(r-4.5-arm64)
RBF_2.1.1.tar.gz(r-4.7-arm64)RBF_2.1.1.tar.gz(r-4.7-x86_64)RBF_2.1.1.tar.gz(r-4.6-arm64)RBF_2.1.1.tar.gz(r-4.6-x86_64)
RBF_2.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RBF/json (API)

# Install 'RBF' in R:

install.packages('RBF', repos = c('https://msalibian.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/msalibian/rbf/issues

On CRAN:

5.41 score 3 stars 17 scripts 295 downloads 41 mentions 5 exports 0 dependencies

Last updated from:3b0d553995. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	122
linux-devel-x86_64	OK	122
source / vignettes	OK	249
linux-release-arm64	OK	121
linux-release-x86_64	OK	121
macos-release-arm64	OK	119
macos-release-x86_64	OK	157
macos-oldrel-arm64	OK	87
macos-oldrel-x86_64	OK	172
windows-devel	OK	78
windows-release	OK	80
windows-oldrel	OK	92
wasm-release	OK	100

Exports:backf.cl backf.rob k.epan psi.huber psi.tukey

Dependencies:

Examples

About this vignette | Boston example | Airquality example | Prediction comparison | Bibliography

Rendered fromExamples.Rmdusingknitr::rmarkdown

Last update: 2021-04-08
Started: 2021-02-12

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
A robust backfitting algorithm for additive models.	RBF-package RBF
Classic Backfitting	backf.cl
Robust Backfitting	backf.rob
Deviance for objects of class 'backf'	deviance.backf
Fitted values for objects of class 'backf'	fitted.values.backf
Additive model formula	formula.backf
Epanechnikov kernel	k.epan
Diagnostic plots for objects of class 'backf'	plot.backf
Fitted values for objects of class 'backf'.	predict.backf
Print a Marginal Integration procedure	print.backf
Derivative of Huber's loss function.	psi.huber
Derivative of Tukey's bi-square loss function.	psi.tukey
Residuals for objects of class 'backf'	residuals.backf
Summary for additive models fits using backfitting	summary.backf summary.backf.cl summary.backf.rob