R Development Page
Contributed R Packages
Below is a list of all packages provided by project Sparse group lasso [MOVED TO GITHUB].
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
| logitsgl | Sparse group lasso logistic regression | |||||||||
| Sparse group lasso logistic regression with multi-response | ||||||||||
| Version: 0.1.0 | Last change: 2015-09-15 10:07:41+02 | Rev.: 141 | ||||||||||
Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("logitsgl", repos="http://R-Forge.R-project.org") | ||||||||||
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| lsgl | Linear sparse group lasso | |||||||||
| Linear multiple output using sparse group lasso | ||||||||||
| Version: 1.1.137.0 | Last change: 2015-04-07 11:49:13+02 | Rev.: 137 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get lsgl 1.3.6 from CRAN | ||||||||||
R install command:
install.packages("lsgl", repos="http://R-Forge.R-project.org") | ||||||||||
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| msgl | High dimensional multiclass classification using sparse group lasso | |||||||||
| Sparse group lasso multiclass classification, suitable for high dimensional problems with many classes. Fast algorithm for solving the multinomial sparse group lasso convex optimization problem. This package apply template metaprogramming techniques, therefore -- when compiling the package from source -- a high level of optimization is needed to gain full speed (e.g. for the GCC compiler use -O3). Use of multiple processors for cross validation and subsampling is supported through OpenMP. The Armadillo C++ library is used as the primary linear algebra engine. | ||||||||||
| Version: 2.1.137.0 | Last change: 2015-07-06 13:39:09+02 | Rev.: 139 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get msgl 2.3.9 from CRAN | ||||||||||
R install command:
install.packages("msgl", repos="http://R-Forge.R-project.org") | ||||||||||
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| sglOptim | Sparse group lasso generic optimizer | |||||||||
| Fast generic solver for sparse group lasso optimization problems. The loss (objective) function must be defined in a C++ module. This package apply template metaprogramming techniques, therefore -- when compiling the package from source -- a high level of optimization is needed to gain full speed (e.g. for the GCC compiler use -O3). Use of multiple processors for cross validation and subsampling is supported through OpenMP. The Armadillo C++ library is used as the primary linear algebra engine. (The sglOptim package version a.b.c.d is interpreted as follows: a - primary version, b - major updates and fixes, c - source revision as corresponding to R-Forge, d - minor fixes made only to the CRAN branch of the source) | ||||||||||
| Version: 1.1.137.0 | Last change: 2015-07-06 14:39:48+02 | Rev.: 140 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get sglOptim 1.3.8 from CRAN | ||||||||||
R install command:
install.packages("sglOptim", 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.
