robustX-package {robustX} | R Documentation |
eXperimental eXtraneous ... Functionality for Robust Statistics
Description
The package robustX aims to be a collection of R functionality for robust statistics of methods and ideas that are considered as proposals, experimental, for experiences or just too much specialized to be part of the “Robust Basics” package robustbase.
Details
Package: | robustX |
Type: | Package |
Title: | 'eXtra' / 'eXperimental' Functionality for Robust Statistics |
Version: | 1.2-7 |
Date: | 2023-06-14 |
Authors@R: | c(person("Martin","Maechler", role=c("aut","cre"), email="maechler@stat.math.ethz.ch", comment = c(ORCID = "0000-0002-8685-9910")) , person("Werner A.", "Stahel", role="aut", email="stahel@stat.math.ethz.ch") , person("Rolf", "Turner", role="ctb", email="r.turner@auckland.ac.nz", comment = "reclas()") , person("Ueli", "Oetliker", role="ctb", comment = "original version of BACON() and mvBACON for S+") , person("Tobias", "Schoch", role="ctb", comment = "init.sel=\"V2\" for BACON; fix alpha") ) |
Maintainer: | Martin Maechler <maechler@stat.math.ethz.ch> |
Description: | Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. Hence methods which are not well established, often related to methods in package 'robustbase'. Amazingly, 'BACON()', originally by Billor, Hadi, and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2> has become established in places. The "barrow wheel" `rbwheel()` is from Stahel and Mächler (2009) <doi:10.1111/j.1467-9868.2009.00706.x>. |
Imports: | grDevices, graphics, stats, utils, robustbase (>= 0.92-3) |
Suggests: | MASS, lattice, pcaPP |
Enhances: | ICS |
License: | GPL (>= 2) |
Encoding: | UTF-8 |
Author: | Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Werner A. Stahel [aut], Rolf Turner [ctb] (reclas()), Ueli Oetliker [ctb] (original version of BACON() and mvBACON for S+), Tobias Schoch [ctb] (init.sel="V2" for BACON; fix alpha) |
Index of help topics:
BACON BACON for Regression or Multivariate Covariance Estimation L1median Compute the Multivariate L1-Median aka 'Spatial Median' Qrot Rotation Matrix to Specific Direction covNNC Robust Covariance Estimation via Nearest Neighbor Cleaning mvBACON BACON: Blocked Adaptive Computationally-Efficient Outlier Nominators rbwheel Multivariate Barrow Wheel Distribution Random Vectors reclas Recursive Robust Median-like Location and Scale robustX-package eXperimental eXtraneous ... Functionality for Robust Statistics
Author(s)
Werner Stahel, Martin Maechler and potentially others
Maintainer: Martin Maechler
See Also
Package robustbase which it complements and on which it depends; further package robust and the whole CRAN task view on robust statistics, https://cran.r-project.org/view=Robust
Examples
pairs( rbwheel(100, 4) )
[Package robustX version 1.2-7 Index]