SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project autoAnn.

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

autoAnn

automatic annotation functions

  Initially, this package is used to automatic annotate posts class, relevance and quality in MOOC, it could also be implemented in similar dataset.
  Version: 1.0 | Last change: 2015-06-01 10:42:37+02 | Rev.: 10
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build
  R install command: install.packages("autoAnn", 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)


openNLP

Apache OpenNLP Tools Interface

  An interface to the Apache OpenNLP tools (version 1.5.3). The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text written in Java. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. See for more information.
  Version: 0.2-4 | Last change: 2015-05-30 16:54:59+02 | Rev.: 7
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build | Stable Release: Get openNLP 0.2-7 from CRAN
  R install command: install.packages("openNLP", 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)


qdap

Bridging the Gap Between Qualitative Data and Quantitative Analysis

  qdap automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R packages that undertake higher level analysis and visualization of text. This affords the user a more efficient and targeted analysis. qdap is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/Natural Language Processing.
  Version: 2.2.0 | Last change: 2015-05-30 16:54:59+02 | Rev.: 7
  Download: linux(.tar.gz) | windows(.zip) | Build status: Failed to build | Stable Release: Get qdap 2.4.6 from CRAN
  R install command: install.packages("qdap", 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).

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