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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3.4.11 by Kevin R. Coombes, 16 days ago
http://silicovore.com/OOMPA/classpred.html
Browse source code at https://github.com/cran/Modeler
Authors: Kevin R. Coombes [aut, cre]
Documentation: PDF Manual
Apache License (== 2.0) license
Imports methods, stats, class, rpart, TailRank, e1071, randomForest, nnet, neuralnet
Depends on ClassDiscovery, ClassComparison, oompaBase
Suggests Biobase
Depended on by CrossValidate.
See at CRAN