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.

Package details

AuthorErin LeDell, Stephanie Sapp, Mark van der Laan
MaintainerErin LeDell <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the subsemble package in your browser

Any scripts or data that you put into this service are public.

subsemble documentation built on May 29, 2017, 8:38 p.m.