An Ensemble Method for Combining Subset-Specific Algorithm Fits
Overview
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.
- Fixed a bunch of CRAN issues; addressed all NOTES in R CMD BUILD --as-cran.
- Fixed a warning in
subsemblefunction. - Fixed typo in the example in subsemble.Rd and changed
cvAUCtoAUCfunction. - Added an example of
subsembleusing a snow cluster to the documentation. - Removed some code that lead to a warning when using a SNOW cluster.
- Updated README.md to include install instructions and code examples.
From NEWS in the release
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64
r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Base package in Suggests/Enhances imported in NAMESPACE: ‘parallel’
r-devel-windows-x86_64
Base package in Suggests/Enhances imported in NAMESPACE: 'parallel'
- NOTE8 OK, 5 NOTENow
- NOTE11 OK, 2 NOTE2026-09-12
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 3includes a package overview page
- Examples that run
- 0%1 only when donttest examples are enabled (R CMD check --as-cran) · 1 hold no code
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 67%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 0
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
Checks run against github.com/ledell/subsemble on 2026-10-18.
No development-tooling practices detected in the upstream repository.
Dependencies
Installing subsemble adds 13 packages (7 with compiled code, 12 MB of source tarballs). Heaviest: data.table 5.7 MB, gplots 4.6 MB, rlang 766 KB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- unarchivedReturned to CRAN2022-01-24
- 0.1.0Latest
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- archivedRemoved from CRAN2019-01-26check problems were not corrected despite reminders
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 0.0.92014-07-01 · diff ↗
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- 0.0.82014-06-28
- RR 3.1.0 released · 2014-04-10
Package metadata
- First published
- 2014-06-28
- Total releases
- 3 / 12 yrs
- License
- Apache License (== 2.0) · relicensed from GPL (>= 2) in 0.1.0
- Minimum R
- ≥ 2.14.0
- Download size
- 14 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("subsemble")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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