SCM

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: 1.0.1 | Last change: 2017-04-23 09:49:59+02 | Rev.: 936
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get ROptEst 1.0.1 from CRAN
  R install command: install.packages("ROptEst", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


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: 0.9.2 | Last change: 2017-04-22 12:27:44+02 | Rev.: 931
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get ROptEstOld 0.9.2 from CRAN
  R install command: install.packages("ROptEstOld", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


ROptRegTS

Optimally robust estimation for regression-type models

  Optimally robust estimation for regression-type models using S4 classes and methods
  Version: 0.9.1 | Last change: 2013-09-14 14:15:52+02 | Rev.: 713
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get ROptRegTS 0.9.1 from CRAN
  R install command: install.packages("ROptRegTS", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


RandVar

Implementation of Random Variables

  Implements random variables by means of S4 classes and methods.
  Version: 1.0.1 | Last change: 2017-04-23 09:32:35+02 | Rev.: 934
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get RandVar 1.0.1 from CRAN
  R install command: install.packages("RandVar", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


RobAStBase

Robust Asymptotic Statistics

  Base S4-classes and functions for robust asymptotic statistics.
  Version: 1.0.1 | Last change: 2017-04-23 09:43:24+02 | Rev.: 935
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get RobAStBase 1.0.1 from CRAN
  R install command: install.packages("RobAStBase", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


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: 1.0.3 | Last change: 2016-09-04 23:33:55+02 | Rev.: 920
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get RobAStRDA 1.0.2 from CRAN
  R install command: install.packages("RobAStRDA", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


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: 1.0 | Last change: 2017-04-23 14:19:10+02 | Rev.: 937
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("RobExtremes", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


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: 0.9 | Last change: 2017-04-22 12:27:44+02 | Rev.: 931
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get RobLox 1.0 from CRAN
  R install command: install.packages("RobLox", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


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: 0.9 | Last change: 2017-04-22 12:27:44+02 | Rev.: 931
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get RobLoxBioC 0.9 from CRAN
  R install command: install.packages("RobLoxBioC", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


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: 0.9 | Last change: 2013-09-14 14:22:48+02 | Rev.: 714
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get RobRex 0.9 from CRAN
  R install command: install.packages("RobRex", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)

 

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.
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