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<!-- README.md is generated from README.Rmd. Please edit that file -->
# `robust`: Port of the S+ “Robust Library”
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[](https://cran.r-project.org/package=robust)
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[](https://cran.r-project.org/package=robust)
[](https://cran.r-project.org/package=robust)
[](https://www.gnu.org/licenses/gpl-3.0.en.html)
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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*](https://github.com/valentint/robust/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.
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