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).
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BimodalIndex | The Bimodality Index
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Defines the functions used to compute the
bimodal index as defined by Wang et al. (2009)
,
. |
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Version: 1.1.9 |
Last change: 2019-05-06 18:39:40+02 |
Rev.: 152 |
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Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | Stable Release: Get BimodalIndex 1.1.9 from CRAN |
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R install command:
install.packages("BimodalIndex", repos="http://R-Forge.R-project.org") |
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ClassPrediction | Classes and Methods for "Class Prediction" with Microarrays or Proteomics
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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. |
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Version: 3.1.1 |
Last change: 2018-05-18 02:41:41+02 |
Rev.: 140 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("ClassPrediction", repos="http://R-Forge.R-project.org") |
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CrossValidate | Classes and Methods for Cross Validation of "Class Prediction" Algorithms
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Defines classes and methods to cross-validate various
binary classification algorithms used for "class prediction"
problems. |
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Version: 2.3.4 |
Last change: 2019-05-06 19:04:10+02 |
Rev.: 154 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get CrossValidate 2.3.4 from CRAN |
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R install command:
install.packages("CrossValidate", repos="http://R-Forge.R-project.org") |
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GenAlgo | Classes and Methods to Use Genetic Algorithms for Feature Selection
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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. |
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Version: 2.2.0 |
Last change: 2020-10-15 17:18:21+02 |
Rev.: 155 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get GenAlgo 2.2.0 from CRAN |
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R install command:
install.packages("GenAlgo", repos="http://R-Forge.R-project.org") |
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Modeler | Classes and Methods for Training and Using Binary Prediction Models
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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. |
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Version: 3.4.5 |
Last change: 2019-05-06 18:53:21+02 |
Rev.: 153 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get Modeler 3.4.5 from CRAN |
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R install command:
install.packages("Modeler", 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.
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