ledell/subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits
Version 0.0.9.9000

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.

Getting started

Package details

AuthorErin LeDell, Stephanie Sapp, Mark van der Laan
MaintainerErin LeDell <[email protected]>
LicenseApache License (== 2.0)
Version0.0.9.9000
URL https://github.com/ledell/subsemble
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("ledell/subsemble")
ledell/subsemble documentation built on Aug. 1, 2017, 9:04 p.m.