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subsemble

0.1.0

An Ensemble Method for Combining Subset-Specific Algorithm Fits

0packages depend
3.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Erin LeDellFirst published 2014-06-283 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 56 s · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
1
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
50%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
67%

Downloads

3.1K
CRAN downloads in the past year
Rank #13,555 · ~8/day · ~257/mo
Daily download trend is not available in this view yet.
16230 days
75290 days
3.1K1 year
Compare downloads with other packages →
Also on99 r2u8 autocran

Repository

Repository
43Stars
4Forks
1Open issues
0Open PRs
1Releases
25Commits
3Contributors
ensembleensemble-learningcross-validationmachine-learningmachine-learning-algorithmsrbig-data
License Apache-2.0 · 25 commits · Last activity 2022-01-21

Stars over time

2024-02-25 · 432026-07-07 · 43

Repository practices

Upstream repositoryBeta

Checks run against github.com/ledell/subsemble on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)
Depends (2)
R >= 2.14.0SuperLearner
Imports (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Maintainer
Authors (2)
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0Latest
    2022-01-24 · current release · diff ↗
  • unarchivedReturned to CRAN
    2022-01-24
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • archivedRemoved from CRAN
    2019-01-26
    check problems were not corrected despite reminders
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 0.0.9
    2014-07-01 · diff ↗
Show 2 earlier events
  • 0.0.8
    2014-06-28
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-06-28
Total releases
3 / 12 yrs
License
Apache License (== 2.0)
Minimum R
≥ 2.14.0
Download size
14 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("subsemble")
LeDell, E., Sapp, S., & van der Laan, M. (2022). subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.subsemble

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for subsemble version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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