SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project Class Prediction.

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

BimodalIndex

The Bimodality Index

  Defines the functions used to compute the bimodal index as defined by Wang et al. (2009) , .
  Version: 1.1.9 | Last change: 2019-05-06 18:39:40+02 | Rev.: 152
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get BimodalIndex 1.1.9 from CRAN
  R install command: install.packages("BimodalIndex", 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)


ClassPrediction

Classes and Methods for "Class Prediction" with Microarrays or Proteomics

  Bundles the classes and pacakges used to help with "class prediction" problems in the OOMPA project. Class prediction consists of supervised methods to select relevant features and construct predictive models for binary, ordinal, continuous, or survival outcomes.
  Version: 3.1.1 | Last change: 2018-05-18 02:41:41+02 | Rev.: 140
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("ClassPrediction", 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)


CrossValidate

Classes and Methods for Cross Validation of "Class Prediction" Algorithms

  Defines classes and methods to cross-validate various binary classification algorithms used for "class prediction" problems.
  Version: 2.3.4 | Last change: 2019-05-06 19:04:10+02 | Rev.: 154
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get CrossValidate 2.3.4 from CRAN
  R install command: install.packages("CrossValidate", 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)


GenAlgo

Classes and Methods to Use Genetic Algorithms for Feature Selection

  Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.
  Version: 2.1.6 | Last change: 2018-12-20 14:11:48+01 | Rev.: 148
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get GenAlgo 2.1.5 from CRAN
  R install command: install.packages("GenAlgo", 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)


Modeler

Classes and Methods for Training and Using Binary Prediction Models

  Defines classes and methods to learn models and use them to predict binary outcomes. These are generic tools, but we also include specific examples for many common classifiers.
  Version: 3.4.5 | Last change: 2019-05-06 18:53:21+02 | Rev.: 153
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get Modeler 3.4.5 from CRAN
  R install command: install.packages("Modeler", 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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