R Development Page
Contributed R Packages
Below is a list of all packages provided by project Fast Generalized Ridge Regression.
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
| EPISbigRR | Generalized Ridge Regression for Analysis of Interaction Effects | |||||||||
| The package fits large-scale (generalized) ridge regression for large scale data including models for interaction effects. | ||||||||||
| Version: 1.0 | Last change: 2016-02-04 15:13:50+01 | Rev.: 45 | ||||||||||
Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("EPISbigRR", repos="http://R-Forge.R-project.org") | ||||||||||
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| bigRR | Generalized Ridge Regression (with special advantage for p >> n cases) | |||||||||
| The package fits large-scale (generalized) ridge regression for various distributions of response. The shrinkage parameters (lambdas) can be pre-specified or estimated using an internal update routine (fitting a heteroscedastic effects model, or HEM). It gives possibility to shrink any subset of parameters in the model. It has special computational advantage for the cases when the number of shrinkage parameters exceeds the number of observations. For example, the package is very useful for fitting large-scale omics data, such as high-throughput genotype data (genomics), gene expression data (transcriptomics), metabolomics data, etc. | ||||||||||
| Version: 1.3-10 | Last change: 2020-07-24 20:19:42+02 | Rev.: 48 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("bigRR", 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.
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