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).
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ROptEst | Optimally Robust Estimation
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R infrastructure for optimally robust estimation in general smoothly
parameterized models using S4 classes and methods as described Kohl, M.,
Ruckdeschel, P., and Rieder, H. (2010), , and in
Rieder, H., Kohl, M., and Ruckdeschel, P. (2008), . |
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Version: 1.3.5 |
Last change: 2025-01-12 01:50:47+01 |
Rev.: 1324 |
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Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | Stable Release: Get ROptEst 1.3.5 from CRAN |
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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
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Optimally robust estimation using S4 classes and methods. Old version still
needed for current versions of ROptRegTS and RobRex. |
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Version: 1.2.2 |
Last change: 2024-02-04 13:09:42+01 |
Rev.: 1272 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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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
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Optimally robust estimation for regression-type models using S4 classes and
methods. |
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Version: 1.2.0 |
Last change: 2024-01-28 21:11:52+01 |
Rev.: 1261 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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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
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Implements random variables by means of S4 classes and methods. |
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Version: 1.2.5 |
Last change: 2025-01-12 15:32:59+01 |
Rev.: 1332 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get RandVar 1.2.5 from CRAN |
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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
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Base S4-classes and functions for robust asymptotic statistics. |
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Version: 1.2.7 |
Last change: 2025-01-12 01:18:06+01 |
Rev.: 1322 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get RobAStBase 1.2.7 from CRAN |
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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
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Includes sysdata.rda file for packages of the RobASt - family of packages; is
currently used by package RobExtremes only. |
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Version: 1.2.1 |
Last change: 2024-01-28 21:11:52+01 |
Rev.: 1261 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get RobAStRDA 1.2.2 from CRAN |
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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
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Optimally robust estimation for extreme value distributions using S4 classes and
methods (based on packages distr, distrEx, distrMod, RobAStBase, and
ROptEst); the underlying theoretic results can be found in Ruckdeschel and
Horbenko, (2013 and 2012), \doi{10.1080/02331888.2011.628022} and
\doi{10.1007/s00184-011-0366-4}. |
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Version: 1.3.2 |
Last change: 2025-01-12 02:08:55+01 |
Rev.: 1326 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get RobExtremes 1.3.2 from CRAN |
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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
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Functions for the determination of optimally robust influence curves and
estimators in case of normal location and/or scale (see Chapter 8 in Kohl (2005)
). |
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Version: 1.2.3 |
Last change: 2025-01-12 03:02:56+01 |
Rev.: 1328 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get RobLox 1.2.3 from CRAN |
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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
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Functions for the determination of optimally robust influence curves and
estimators for preprocessing omics data, in particular gene expression data (Kohl
and Deigner (2010), ). |
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Version: 1.2.3 |
Last change: 2025-01-19 17:58:14+01 |
Rev.: 1333 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get RobLoxBioC 1.2.3 from CRAN |
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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
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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. |
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Version: 1.2.0 |
Last change: 2024-01-28 21:11:52+01 |
Rev.: 1261 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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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.
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