Package: robust 0.7-5
Valentin Todorov
robust: Port of the S+ "Robust Library"
Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression and robust multivariate analysis.
Authors:
robust_0.7-5.tar.gz
robust_0.7-5.tar.gz(r-4.5-noble)robust_0.7-5.tar.gz(r-4.4-noble)
robust_0.7-5.tgz(r-4.4-emscripten)robust_0.7-5.tgz(r-4.3-emscripten)
robust.pdf |robust.html✨
robust/json (API)
NEWS
| # Install 'robust' in R: |
| install.packages('robust', repos = 'https://cloud.r-project.org') |
Bug tracker:https://github.com/valentint/robust/issues2 issues
- breslow.dat - Breslow Data
- leuk.dat - Leuk Data
- mallows.dat - Mallows Data
- stack.dat - Brownlee's Stack-Loss Data
- woodmod.dat - Modified Wood Data
Last updated 8 months agofrom:b7b61c6edd. Checks:3 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 18 2025 |
| R-4.5-linux-x86_64 | OK | Mar 18 2025 |
| R-4.4-linux-x86_64 | OK | Mar 18 2025 |
Exports:anova.glmRobanova.glmRoblistanova.lmRobanova.lmRoblistchi.weightcovClassiccovRobcovRob.controldrop1.lmRobfitdstnfitdstnRobgammaRobgammaRob.controlgen.dataglmRobglmRob.controlglmRob.cubifglmRob.cubif.controlglmRob.mallowsglmRob.mallows.controlglmRob.misclassglmRob.misclass.controllmRoblmRob.controllmRob.fitlmRob.fit.computelmRob.RFPElmRob.wfitlognormRoblognormRob.controllsRobTestoverlaidDenPlot.fdfmplot.covClassicplot.covRobplot.fdfmplot.glmRobplot.lmRobpredict.glmRobpredict.lmRobpsi.weightpsp.weightqqPlot.fdfmrb.lmRobresiduals.glmRobrho.weightstep.lmRobsummary.covClassicsummary.covRobsummary.glmRobsummary.lmRobtest.lmRobupdate.lmRobweibullRobweibullRob.control
Dependencies:DEoptimRfit.modelslatticeMASSmvtnormpcaPProbustbaserrcov
Citation
To cite package ‘robust’ in publications use:
Wang J, Zamar R, Marazzi A, Yohai V, Salibian-Barrera M, Maronna R, Zivot E, Rocke D, Martin D, Maechler M, Konis K, Todorov V (2024). robust: Port of the S+ "Robust Library". R package version 0.7-5, https://CRAN.R-project.org/package=robust.
Corresponding BibTeX entry:
@Manual{,
title = {robust: Port of the S+ "Robust Library"},
author = {Jiahui Wang and Ruben Zamar and Alfio Marazzi and Victor
Yohai and Matias Salibian-Barrera and Ricardo Maronna and Eric
Zivot and David Rocke and Doug Martin and Martin Maechler and
Kjell Konis and Valentin Todorov},
year = {2024},
note = {R package version 0.7-5},
url = {https://CRAN.R-project.org/package=robust},
}
Readme and manuals
robust: Port of the S+ “Robust Library”robust
This package contains the Robust Library version 0.4
- Contributors:
- Jeff Wang jwang@statsci.com
- Ruben Zamar ruben@stat.ubc.ca
- Alfio Marazzi Alfio.Marazzi@inst.hospvd.ch
- Victor Yohai vyohai@dm.uba.ar
- Matias Salibian-Barrera matias@stat.ubc.ca
- Ricardo Maronna maron@mate.unlp.edu.ar
- Eric Zivot ezivot@u.washington.edu
- David Rocke dmrocke@ucdavis.edu
- Doug Martin doug@statsci.com
- Kjell Konis kjell.konis@icloud.com
- This package contains the following robust methods:
- Robust Covariance estimation (scatter and location)
- Robust Linear Regression
- Robust Generalized Linear Models
- Robust Gamma, Weibull, and lognormal parameter estimation
- A method for side-by-side comparison of robust and classical models is also provided. Please see Robust.pdf for further details.
Installation
The robust package is on CRAN (The Comprehensive R Archive Network)
and the latest release can be easily installed using the command
install.packages("robust")
Building from source
To install the latest stable development version from GitHub, you can pull this repository and install it using
## install.packages("remotes")
remotes::install_github("valentint/robust")
Of course, if you have already installed remotes, you can skip the
first line (I have commented it out).
Community guidelines
Report issues and request features
If you experience any bugs or issues or if you have any suggestions for additional features, please submit an issue via the Issues tab of this repository. Please have a look at existing issues first to see if your problem or feature request has already been discussed.
Contribute to the package
If you want to contribute to the package, you can fork this repository and create a pull request after implementing the desired functionality.
Ask for help
If you need help using the package, or if you are interested in collaborations related to this project, please get in touch with the package maintainer.
