subsemble: 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.

AuthorErin LeDell, Stephanie Sapp, Mark van der Laan
Date of publication2014-07-01 09:37:47
MaintainerErin LeDell <ledell@berkeley.edu>
LicenseGPL (>= 2)
Version0.0.9

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