eXperimental eXtraneous ... Functionality for Robust Statistics
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.
| Package: | robustX |
| Type: | Package |
| Title: | 'eXtra' / 'eXperimental' Functionality for Robust Statistics |
| Version: | 1.2-4 |
| Date: | 2019-02-25 |
| Author: | Werner Stahel, Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>) and potentially others |
| Maintainer: | Martin Maechler <maechler@stat.math.ethz.ch> |
| Description: | Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. In other words, methods which are not yet well established, often related to methods in package 'robustbase'. |
| Imports: | grDevices, graphics, stats, utils, robustbase (>= 0.92-3) |
| Suggests: | MASS, lattice |
| Enhances: | ICS |
| License: | GPL (>= 2) |
| Encoding: | UTF-8 |
| Repository: | R-Forge |
| Repository/R-Forge/Project: | robustbase |
| Repository/R-Forge/Revision: | 836 |
| Repository/R-Forge/DateTimeStamp: | 2019-02-25 09:25:22 |
| Date/Publication: | 2019-02-25 09:25:22 |
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 StatisticsWerner Stahel, Martin Maechler and potentially others
Maintainer: Martin Maechler
Package robustbase which it complements and on which it depends; further package robust and the whole CRAN task view on robust statistics, http://cran.CH.r-project.org/web/views/Robust.html
pairs( rbwheel(100, 4) )
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