Package: robustX 1.2-7
robustX: 'eXtra' / 'eXperimental' Functionality for Robust Statistics
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>.
Authors:
robustX_1.2-7.tar.gz
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robustX.pdf |robustX.html✨
robustX/json (API)
# Install 'robustX' in R: |
install.packages('robustX', repos = c('https://mmaechler.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:17fd79cce4. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 13 2024 |
R-4.5-win | OK | Dec 13 2024 |
R-4.5-linux | OK | Dec 13 2024 |
R-4.4-win | OK | Dec 13 2024 |
R-4.4-mac | OK | Dec 13 2024 |
R-4.3-win | OK | Dec 13 2024 |
R-4.3-mac | OK | Dec 13 2024 |
Exports:BACONcov.nnvecovNNCL1medianmvBACONnlminbMethodsoptimMethodsQrotrbwheelreclas
Dependencies:DEoptimRrobustbase
Readme and manuals
Help Manual
Help page | Topics |
---|---|
eXperimental eXtraneous ... Functionality for Robust Statistics | robustX-package robustX |
BACON for Regression or Multivariate Covariance Estimation | .lmBACON BACON |
Robust Covariance Estimation via Nearest Neighbor Cleaning | cov.nnve covNNC |
Compute the Multivariate L1-Median aka 'Spatial Median' | L1median nlminbMethods optimMethods |
BACON: Blocked Adaptive Computationally-Efficient Outlier Nominators | mvBACON |
Rotation Matrix to Specific Direction | Qrot |
Multivariate Barrow Wheel Distribution Random Vectors | rbwheel |
Recursive Robust Median-like Location and Scale | plot.reclas reclas |