R Development Page
Contributed R Packages
Below is a list of all packages provided by project RobASt - Robust Asymptotic Statistics.
Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).
Packages
ROptEst | Optimally Robust Estimation | |||||||||||
Optimally robust estimation in general smoothly parameterized models using S4 classes and methods. | ||||||||||||
Version: 1.2.1 | Last change: 2019-04-07 12:38:45+02 | Rev.: 1220 | ||||||||||||
Download:
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R install command:
install.packages("ROptEst", repos="http://R-Forge.R-project.org") | ||||||||||||
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ROptEstOld | Optimally Robust Estimation - Old Version | |||||||||
Optimally robust estimation using S4 classes and methods. Old version still needed for current versions of ROptRegTS and RobRex. | ||||||||||
Version: 1.2.0 | Last change: 2019-04-02 21:10:23+02 | Rev.: 1215 | ||||||||||
Download:
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R install command:
install.packages("ROptEstOld", repos="http://R-Forge.R-project.org") | ||||||||||
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ROptRegTS | Optimally Robust Estimation for Regression-Type Models | |||||||||||
Optimally robust estimation for regression-type models using S4 classes and methods. | ||||||||||||
Version: 1.2.0 | Last change: 2019-04-02 21:10:23+02 | Rev.: 1215 | ||||||||||||
Download:
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R install command:
install.packages("ROptRegTS", repos="http://R-Forge.R-project.org") | ||||||||||||
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RandVar | Implementation of Random Variables | |||||||||
Implements random variables by means of S4 classes and methods. | ||||||||||
Version: 1.2.1 | Last change: 2020-01-18 06:37:52+01 | Rev.: 1231 | ||||||||||
Download:
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R install command:
install.packages("RandVar", repos="http://R-Forge.R-project.org") | ||||||||||
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RobAStBase | Robust Asymptotic Statistics | |||||||||||
Base S4-classes and functions for robust asymptotic statistics. | ||||||||||||
Version: 1.2.1 | Last change: 2019-04-07 12:38:45+02 | Rev.: 1220 | ||||||||||||
Download:
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R install command:
install.packages("RobAStBase", repos="http://R-Forge.R-project.org") | ||||||||||||
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RobAStRDA | Interpolation Grids for Packages of the RobASt - Family of Packages | |||||||||
Includes sysdata.rda file for packages of the RobASt - family of packages; is currently used by package RobExtremes only. | ||||||||||
Version: 1.2.0 | Last change: 2019-03-27 17:00:38+01 | Rev.: 1207 | ||||||||||
Download:
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R install command:
install.packages("RobAStRDA", repos="http://R-Forge.R-project.org") | ||||||||||
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RobExtremes | Optimally Robust Estimation for Extreme Value Distributions | |||||||||||
Optimally robust estimation for extreme value distributions using S4 classes and methods (based on packages distr, distrEx, distrMod, RobAStBase, and ROptEst). | ||||||||||||
Version: 1.2.0 | Last change: 2019-04-02 21:10:23+02 | Rev.: 1215 | ||||||||||||
Download:
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R install command:
install.packages("RobExtremes", repos="http://R-Forge.R-project.org") | ||||||||||||
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RobLox | Optimally Robust Influence Curves and Estimators for Location and Scale | |||||||||
Functions for the determination of optimally robust influence curves and estimators in case of normal location and/or scale. | ||||||||||
Version: 1.2.0 | Last change: 2019-04-02 21:10:23+02 | Rev.: 1215 | ||||||||||
Download:
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R install command:
install.packages("RobLox", repos="http://R-Forge.R-project.org") | ||||||||||
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RobLoxBioC | Infinitesimally Robust Estimators for Preprocessing -Omics Data | |||||||||
Functions for the determination of optimally robust influence curves and estimators for preprocessing omics data, in particular gene expression data. | ||||||||||
Version: 1.2.0 | Last change: 2019-04-02 21:10:23+02 | Rev.: 1215 | ||||||||||
Download:
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R install command:
install.packages("RobLoxBioC", repos="http://R-Forge.R-project.org") | ||||||||||
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RobRex | Optimally Robust Influence Curves for Regression and Scale | |||||||||||
Functions for the determination of optimally robust influence curves in case of linear regression with unknown scale and standard normal distributed errors where the regressor is random. | ||||||||||||
Version: 1.2.0 | Last change: 2019-04-02 21:10:23+02 | Rev.: 1215 | ||||||||||||
Download:
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R install command:
install.packages("RobRex", repos="http://R-Forge.R-project.org") | ||||||||||||
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