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subsemble  

An Ensemble Method for Combining Subset-Specific Algorithm Fits
View on CRAN: Click here


Download and install subsemble package within the R console
Install from CRAN:
install.packages("subsemble")

Install from Github:
library("remotes")
install_github("cran/subsemble")

Install by package version:
library("remotes")
install_version("subsemble", "0.1.0")



Attach the package and use:
library("subsemble")
Maintained by
Erin LeDell
[Scholar Profile | Author Map]
First Published: 2014-06-28
Latest Update: 2022-01-24
Description:
The Subsemble algorithm 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 k-fold cross-validation to output a prediction function that combines the subset-specific fits. An oracle result provides a theoretical performance guarantee for Subsemble. The paper, "Subsemble: An ensemble method for combining subset-specific algorithm fits" is authored by Stephanie Sapp, Mark J. van der Laan & John Canny (2014) <doi:10.1080/02664763.2013.864263>.
How to cite:
Erin LeDell (2014). subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits. R package version 0.1.0, https://cran.r-project.org/web/packages/subsemble. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.0.8 (2014-06-28 20:57), 0.0.9 (2014-07-01 09:37)
Other packages that cited subsemble R package
View subsemble citation profile
Other R packages that subsemble depends, imports, suggests or enhances
Complete documentation for subsemble
Functions, R codes and Examples using the subsemble R package
Some associated functions: predict.subsemble . subsemble-package . subsemble . 
Some associated R codes: control.R . predict.subsemble.R . subsemble.R . zzz.R .  Full subsemble package functions and examples
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