R Development Page
Contributed R Packages
Below is a list of all packages provided by project addendum.
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).
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EMLasso | Fit (logistic) LASSO when there is missing data in
the predictors
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Fit (logistic) LASSO when there is missing
data in the predictors/covariates |
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Version: 2.0.9 |
Last change: 2013-06-16 15:30:06+02 |
Rev.: 220 |
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Download:
 (.tar.gz) |
 (.zip) |
Build status: Current |
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R install command:
install.packages("EMLasso", repos="http://R-Forge.R-project.org") |
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GLoMo | Naive General Location Model
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General Location Model as e.g. found in "Statistical Analysis with Missing Data". This version can be fit to a data.frame or numdfr without missing data, and supports prediction of new data and completion prediction of data with missing values. It also supports conditional completion (as needed in EMLasso). |
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Version: 1.7.4 |
Last change: 2013-04-17 17:43:49+02 |
Rev.: 217 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("GLoMo", repos="http://R-Forge.R-project.org") |
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NumDfr | Provide a performant alternative to data.frame wrt factors
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This package is created with GLoMo as its main goal, but contains interesting options. For some applications, especially involving mostly numeric columns and some categorical ones, this can be a speedy alternative. |
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Version: 1.7.6 |
Last change: 2013-01-30 17:18:06+01 |
Rev.: 210 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("NumDfr", repos="http://R-Forge.R-project.org") |
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addendum | Things that R needs for day to day use
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In essence this is a recap of things Ive created over the last 3 years and found reusable to some extent. |
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Version: 1.7.7 |
Last change: 2013-02-06 15:48:30+01 |
Rev.: 214 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Failed to build |
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R install command:
install.packages("addendum", repos="http://R-Forge.R-project.org") |
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genpred | Generalized prediction with classification or regression
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Enables to run a lot of different classification/regression mechanisms and compare the results. |
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Version: 1.0 |
Last change: 2011-08-24 22:07:52+02 |
Rev.: 30 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("genpred", repos="http://R-Forge.R-project.org") |
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nspack | Utility functions only useful on computers accessible to Nick Sabbe
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Utility functions only useful on computers accessible to Nick Sabbe |
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Version: 1.0 |
Last change: 2011-08-24 22:08:51+02 |
Rev.: 31 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("nspack", 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.
