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.
|Author||Erin LeDell, Stephanie Sapp, Mark van der Laan|
|Date of publication||2014-07-01 09:37:47|
|Maintainer||Erin LeDell <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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