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:
 (.tar.gz) |
 (.zip) |
Build status: Failed to build | Stable Release: Get ROptEst 1.2.1 from CRAN | ||||||||||||
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 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get ROptEstOld 1.2.0 from CRAN | ||||||||||
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 | ||||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Failed to build | Stable Release: Get ROptRegTS 1.2.0 from CRAN | ||||||||||||
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 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get RandVar 1.2.1 from CRAN | ||||||||||
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 | ||||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Failed to build | Stable Release: Get RobAStBase 1.2.1 from CRAN | ||||||||||||
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 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get RobAStRDA 1.2.0 from CRAN | ||||||||||
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 | ||||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Failed to build | Stable Release: Get RobExtremes 1.2.0 from CRAN | ||||||||||||
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 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get RobLox 1.2.0 from CRAN | ||||||||||
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 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get RobLoxBioC 1.2.0 from CRAN | ||||||||||
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 | ||||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Failed to build | Stable Release: Get RobRex 1.2.0 from CRAN | ||||||||||||
R install command:
install.packages("RobRex", repos="http://R-Forge.R-project.org") | ||||||||||||
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Build status codes
0 - Current: the package is available for download. The corresponding package passed checks on the Linux and Windows platform without ERRORs.
1 - Scheduled for build: the package has been recognized by the build system and provided in the staging area.
2 - Building: the package has been sent to the build machines. It will be built and checked using the latest patched version of R. Note that it is included in a batch of several packages. Thus, this process will take some time to finish.
3 - Failed to build: the package failed to build or did not pass the checks on the Linux and/or Windows platform. It is not made available since it does not meet the policies.
4 - Conflicts: two or more packages of the same name exist. None of them will be built. Maintainers are asked to negotiate further actions.
5 - Offline: the package is not available. The build system may be offline or the package maintainer did not trigger a rebuild (done e.g., via committing to the package repository).
If your package is not shown on this page or not building, then check the build system status report.
