subsemble-package: An Ensemble Method for Combining Subset-Specific Algorithm...

Description Details Author(s) References See Also


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.


Package: subsemble
Type: Package
Version: 0.0.9
Date: 2014-07-01
License: GPL (>= 2)


Author: Erin LeDell, Stephanie Sapp, Mark van der Laan

Maintainer: Erin LeDell <>


Stephanie Sapp, Mark J. van der Laan & John Canny, Journal of Applied Statistics (2013). Subsemble: An ensemble method for combining subset-specific algorithm fits

See Also


subsemble documentation built on May 19, 2017, 6:54 p.m.

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