R Development Page
Contributed R Packages
Below is a list of all packages provided by project robustbase - Basic Robust 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
DEoptimR | Differential Evolution Optimization in Pure R | |||||||||
Differential Evolution (DE) stochastic heuristic algorithms for
global optimization of problems with and without general constraints.
The aim is to curate a collection of its variants that
(1) do not sacrifice simplicity of design,
(2) are essentially tuning-free, and
(3) can be efficiently implemented directly in the R language.
Currently, it provides implementations of the algorithms jDE by
Brest et al. (2006) | ||||||||||
Version: 1.1-3 | Last change: 2023-09-28 20:31:04+02 | Rev.: 981 | ||||||||||
Download: (.tar.gz) | (.zip) | Build status: Current | Stable Release: Get DEoptimR 1.1-3 from CRAN | ||||||||||
R install command:
install.packages("DEoptimR", repos="http://R-Forge.R-project.org") | ||||||||||
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robustX | eXtra / eXperimental Functionality for Robust Statistics | |||||||||
Robustness -- eXperimental, eXtraneous, or eXtraordinary
Functionality for Robust Statistics. Hence methods which are not well established,
often related to methods in package robustbase. Amazingly, BACON(), originally by
Billor, Hadi, and Velleman (2000) | ||||||||||
Version: 1.2-7 | Last change: 2023-10-11 11:17:32+02 | Rev.: 982 | ||||||||||
Download: (.tar.gz) | (.zip) | Build status: Current | Stable Release: Get robustX 1.2-7 from CRAN | ||||||||||
R install command:
install.packages("robustX", repos="http://R-Forge.R-project.org") | ||||||||||
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robustbase | Basic Robust Statistics | |||||||||
"Essential" Robust Statistics. Tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book "Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai; Wiley 2006. | ||||||||||
Version: 0.99-5 | Last change: 2024-11-01 12:16:59+01 | Rev.: 1007 | ||||||||||
Download: (.tar.gz) | (.zip) | Build status: Current | Stable Release: Get robustbase 0.99-4-1 from CRAN | ||||||||||
R install command:
install.packages("robustbase", 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.