SCM

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).

Packages

EMLasso

Fit (logistic) LASSO when there is missing data in the predictors

  Fit (logistic) LASSO when there is missing data in the predictors/covariates
  Version: 2.0.9 | Last change: 2013-06-16 15:30:06+02 | Rev.: 220
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("EMLasso", 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)


GLoMo

Naive General Location Model

  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).
  Version: 1.7.4 | Last change: 2013-04-17 17:43:49+02 | Rev.: 217
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("GLoMo", 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)


NumDfr

Provide a performant alternative to data.frame wrt factors

  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.
  Version: 1.7.6 | Last change: 2013-01-30 17:18:06+01 | Rev.: 210
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("NumDfr", 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)


addendum

Things that R needs for day to day use

  In essence this is a recap of things Ive created over the last 3 years and found reusable to some extent.
  Version: 1.7.7 | Last change: 2013-02-06 15:48:30+01 | Rev.: 214
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build
  R install command: install.packages("addendum", 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)


genpred

Generalized prediction with classification or regression

  Enables to run a lot of different classification/regression mechanisms and compare the results.
  Version: 1.0 | Last change: 2011-08-24 22:07:52+02 | Rev.: 30
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("genpred", 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)


nspack

Utility functions only useful on computers accessible to Nick Sabbe

  Utility functions only useful on computers accessible to Nick Sabbe
  Version: 1.0 | Last change: 2011-08-24 22:08:51+02 | Rev.: 31
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("nspack", 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.
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.

Thanks to:
Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge