subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits
Version 0.0.9

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
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("subsemble")

Getting started

Package overview

Popular man pages

predict.subsemble: Predict method for a 'subsemble' object.
subsemble: An Ensemble Method for Combining Subset-Specific Algorithm...
subsemble-package: An Ensemble Method for Combining Subset-Specific Algorithm...
See all...

All man pages Function index File listing

Man pages

predict.subsemble: Predict method for a 'subsemble' object.
subsemble: An Ensemble Method for Combining Subset-Specific Algorithm...
subsemble-package: An Ensemble Method for Combining Subset-Specific Algorithm...

Functions

cv_control Source code
gen_control Source code
learn_control Source code
onAttach Source code
predict.subsemble Man page Source code
sub_control Source code
subsemble Man page Source code
subsemble-package Man page Man page

Files

NAMESPACE
NEWS
R
R/subsemble.R
R/control.R
R/predict.subsemble.R
R/zzz.R
MD5
DESCRIPTION
man
man/subsemble.Rd
man/predict.subsemble.Rd
man/subsemble-package.Rd
subsemble documentation built on May 19, 2017, 6:54 p.m.

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