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.
|Author||Kevin R. Coombes|
|Bioconductor views||Clustering Microarray|
|Maintainer||Kevin R. Coombes <[email protected]>|
|License||Apache License (== 2.0)|
|Package repository||View on R-Forge|
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