R Development Page
Contributed R Packages
Below is a list of all packages provided by project R.* packages [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
| R.archive | Automatic copying of objects and files to a file-based archive | |||||||||||
| Methods for creating archived copies of objects and files, e.g. all image files created. TAGS: Reproducible research. | ||||||||||||
| Version: 0.3.0 | Last change: 2013-10-31 18:48:31+01 | Rev.: 1827 | ||||||||||||
Download:
 (.tar.gz) |
 (.zip) |
Build status: Failed to build | ||||||||||||
R install command:
install.packages("R.archive", repos="http://R-Forge.R-project.org") | ||||||||||||
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| R.batch | Methods to run batch jobs in R | |||||||||
| The package provides methods to batch run R scripts in a straightforward manner. A job batch is defined by a root directory containing subdirectories todo/, running/, finished/, failed/, src/ among others. A job to be processed is a directory placed in todo/. A job is processed by moving it to running/, then sourcing the R files in src/ (containing common code) and then the ones in the job directory (contain job specific code), in which a function onRun() has to be defined, which is then called. Succesfully jobs end up in finished/ whereas failed jobs in failed/. | ||||||||||
| Version: 0.6.1 | Last change: 2012-05-17 08:45:35+02 | Rev.: 785 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("R.batch", repos="http://R-Forge.R-project.org") | ||||||||||
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| R.cache | Fast and light-weight caching (memoization) of objects and results to speed up computations | |||||||||||
| Memoization can be used to speed up repetitive and computational expensive function calls. The first time a function that implements memoization is called the results are stored in a cache memory. The next time the function is called with the same set of parameters, the results are momentarily retrieved from the cache avoiding repeating the calculations. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system). | ||||||||||||
| Version: 0.10.0 | Last change: 2014-06-15 00:40:00+02 | Rev.: 2242 | ||||||||||||
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(.tar.gz) |
(.zip) |
Build status: Failed to build | Stable Release: Get R.cache 0.17.0 from CRAN | ||||||||||||
R install command:
install.packages("R.cache", repos="http://R-Forge.R-project.org") | ||||||||||||
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| R.devices | Unified handling of graphics devices | |||||||||||
| This package provides functions for creating plots and image files in a unified way regardless of output format (EPS, PDF, PNG, SVG, TIFF, WMF, etc.). Default device options as well as scales and aspect ratios are controlled in a uniform way across all device types. Switching output format requires minimal changes in code. This package is ideal for large-scale batch processing, because it will never leave open graphics devices or incomplete image files behind, even on errors or user interrupts. | ||||||||||||
| Version: 2.9.2 | Last change: 2014-06-15 00:53:27+02 | Rev.: 2245 | ||||||||||||
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(.tar.gz) |
(.zip) |
Build status: Failed to build | Stable Release: Get R.devices 2.17.2 from CRAN | ||||||||||||
R install command:
install.packages("R.devices", repos="http://R-Forge.R-project.org") | ||||||||||||
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| R.filesets | Easy handling of and access to files organized in structured directories | |||||||||||
| A file set refers to a set of files located in one or more directories on the file system. This package provides classes and methods to locate, setup, subset, navigate and iterate such sets. The API is designed such that these classes can be extended via inheritance to provide a richer API for special file formats. Moreover, a specific name format is defined such that filenames and directories can be considered to have full names which consists of a name followed by comma-separated tags. This adds additional flexibility to identify file sets and individual files. NOTE: This packages API should be considered to be in an beta stage. Its main purpose is currently to support the aroma.* packages, where it is one of the main core components; if you decide to build on top of this package, please contact the author first. | ||||||||||||
| Version: 2.5.4 | Last change: 2014-06-15 02:34:21+02 | Rev.: 2250 | ||||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Failed to build | Stable Release: Get R.filesets 2.15.1 from CRAN | ||||||||||||
R install command:
install.packages("R.filesets", repos="http://R-Forge.R-project.org") | ||||||||||||
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| R.huge | Methods for accessing huge amounts of data [DEPRECATED] | |||||||||||
| THIS PACKAGE HAS BEEN DEPRECATED. Do not start building new projects based on it. Cross-platform alternatives are the following packages: bigmemory (CRAN), ff (CRAN), BufferedMatrix (Bioconductor). The main usage of it was inside the aroma.affymetrix package. (The package currently provides a class representing a matrix where the actual data is stored in a binary format on the local file system. This way the size limit of the data is set by the file system and not the memory.) | ||||||||||||
| Version: 0.8.0 | Last change: 2014-06-15 04:31:50+02 | Rev.: 2251 | ||||||||||||
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(.zip) |
Build status: Failed to build | Stable Release: Get R.huge 0.9.0 from CRAN | ||||||||||||
R install command:
install.packages("R.huge", repos="http://R-Forge.R-project.org") | ||||||||||||
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| R.matlab | Read and write of MAT files together with R-to-MATLAB connectivity | |||||||||||
| This package provides methods readMat() and writeMat() to read and write MAT files. It also makes it possible to communicate (evaluate code, send and retrieve objects etc.) with MATLAB v6 or higher running locally or on a remote host. | ||||||||||||
| Version: 3.0.1 | Last change: 2014-06-15 01:06:45+02 | Rev.: 2248 | ||||||||||||
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(.tar.gz) |
(.zip) |
Build status: Failed to build | Stable Release: Get R.matlab 3.7.0 from CRAN | ||||||||||||
R install command:
install.packages("R.matlab", repos="http://R-Forge.R-project.org") | ||||||||||||
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| R.menu | A text based menu system | |||||||||||
| A text based menu system | ||||||||||||
| Version: 0.3.0 | Last change: 2014-06-16 21:27:11+02 | Rev.: 2253 | ||||||||||||
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(.zip) |
Build status: Failed to build | ||||||||||||
R install command:
install.packages("R.menu", repos="http://R-Forge.R-project.org") | ||||||||||||
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| R.methodsS3 | Utility function for defining S3 methods | |||||||||||
| Methods that simplify the setup of S3 generic functions and S3 methods. Major effort has been made in making definition of methods as simple as possible with a minimum of maintenance for package developers. For example, generic functions are created automatically, if missing, and naming conflict are automatically solved, if possible. The method setMethodS3() is a good start for those who in the future may want to migrate to S4. This is a cross-platform package implemented in pure R that generates standard S3 methods. | ||||||||||||
| Version: 1.6.2 | Last change: 2014-06-14 23:28:53+02 | Rev.: 2237 | ||||||||||||
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Build status: Failed to build | Stable Release: Get R.methodsS3 1.8.2 from CRAN | ||||||||||||
R install command:
install.packages("R.methodsS3", repos="http://R-Forge.R-project.org") | ||||||||||||
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| R.oo | R object-oriented programming with or without references | |||||||||||
| Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks. | ||||||||||||
| Version: 1.18.2 | Last change: 2014-06-14 23:34:11+02 | Rev.: 2240 | ||||||||||||
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(.zip) |
Build status: Failed to build | Stable Release: Get R.oo 1.27.1 from CRAN | ||||||||||||
R install command:
install.packages("R.oo", repos="http://R-Forge.R-project.org") | ||||||||||||
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| R.rsp | Dynamic generation of scientific reports | |||||||||||
| The RSP markup language makes any text-based document come alive. RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. Todays date is <%=Sys.Date()%>. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile(report.tex.rsp) generates report.pdf and rfile(report.md.rsp) generates report.html. RSP is ideal for self-contained scientific reports and R package vignettes. Its easy to use - if you know how to write an R script, youll be up and running within minutes. | ||||||||||||
| Version: 0.19.0 | Last change: 2014-06-15 01:02:17+02 | Rev.: 2247 | ||||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Failed to build | Stable Release: Get R.rsp 0.46.0 from CRAN | ||||||||||||
R install command:
install.packages("R.rsp", repos="http://R-Forge.R-project.org") | ||||||||||||
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| R.synchronize | Synchronious locking mechanisms | |||||||||
| This package provides platform-independent classes and methods for synchronizing code execution across multiple hosts, e.g. mutex. NOTE: This package is very much in an alpha stage, and will definitely be updated alot before there is a stable API. | ||||||||||
| Version: 0.0.4 | Last change: 2014-05-04 22:38:49+02 | Rev.: 2140 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("R.synchronize", repos="http://R-Forge.R-project.org") | ||||||||||
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| R.utils | Various programming utilities | |||||||||||
| This package provides utility methods useful when programming and developing R packages. | ||||||||||||
| Version: 1.32.5 | Last change: 2014-06-15 00:32:35+02 | Rev.: 2241 | ||||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Failed to build | Stable Release: Get R.utils 2.9.2 from CRAN | ||||||||||||
R install command:
install.packages("R.utils", 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.
