subsemble v0.0.9

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An Ensemble Method for Combining Subset-Specific Algorithm Fits

Subsemble is a general subset ensemble prediction method, which can be used for small, moderate, or large datasets. Subsemble partitions the full dataset into subsets of observations, fits a specified underlying algorithm on each subset, and uses a unique form of V-fold cross-validation to output a prediction function that combines the subset-specific fits. An oracle result provides a theoretical performance guarantee for Subsemble.

Functions in subsemble

Name Description
subsemble-package An Ensemble Method for Combining Subset-Specific Algorithm Fits
subsemble An Ensemble Method for Combining Subset-Specific Algorithm Fits
predict.subsemble Predict method for a 'subsemble' object.
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Details

Type Package
Date 2014-07-01
License GPL (>= 2)
LazyLoad yes
Packaged 2014-07-01 05:55:13 UTC; ledell
NeedsCompilation no
Repository CRAN
Date/Publication 2014-07-01 09:37:47

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