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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, use the package sources (.tar.gz) in older
versions of R. All packages are built/checked according to this
schedule.
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RandVar - Implementation of random variables
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Implementation of random variables by means of S4 classes and methods
To install this package directly within R type:
install.packages("RandVar", repos="http://R-Forge.R-project.org")
Version: 0.7 |
Last change: 2009-11-01 12:37:36+01 |
Rev.: 392
Stable Release:
Get RandVar 0.7 from CRAN
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RobAStBase - Robust Asymptotic Statistics
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Base S4-classes and functions for robust asymptotic statistics.
To install this package directly within R type:
install.packages("RobAStBase", repos="http://R-Forge.R-project.org")
Version: 0.7 |
Last change: 2009-11-01 12:37:36+01 |
Rev.: 392
Stable Release:
Get RobAStBase 0.7 from CRAN
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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
To install this package directly within R type:
install.packages("RobLox", repos="http://R-Forge.R-project.org")
Version: 0.7 |
Last change: 2009-11-01 12:37:36+01 |
Rev.: 392
Stable Release:
Get RobLox 0.7 from CRAN
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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.
To install this package directly within R type:
install.packages("RobLoxBioC", repos="http://R-Forge.R-project.org")
Version: 0.7 |
Last change: 2009-11-01 12:43:46+01 |
Rev.: 395
Stable Release:
Get RobLoxBioC 0.7 from CRAN
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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.
To install this package directly within R type:
install.packages("RobRex", repos="http://R-Forge.R-project.org")
Version: 0.7 |
Last change: 2009-11-01 12:37:36+01 |
Rev.: 392
Stable Release:
Get RobRex 0.7 from CRAN
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ROptEst - Optimally robust estimation
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Optimally robust estimation in general smoothly parameterized models using S4 classes and methods.
To install this package directly within R type:
install.packages("ROptEst", repos="http://R-Forge.R-project.org")
Version: 0.7 |
Last change: 2009-11-01 12:37:36+01 |
Rev.: 392
Stable Release:
Get ROptEst 0.7 from CRAN
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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.
To install this package directly within R type:
install.packages("ROptEstOld", repos="http://R-Forge.R-project.org")
Version: 0.7 |
Last change: 2009-11-01 12:37:36+01 |
Rev.: 392
Stable Release:
Get ROptEstOld 0.7 from CRAN
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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
To install this package directly within R type:
install.packages("ROptRegTS", repos="http://R-Forge.R-project.org")
Version: 0.7 |
Last change: 2009-11-01 12:37:36+01 |
Rev.: 392
Stable Release:
Get ROptRegTS 0.7 from CRAN
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