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subsemble

0.1.0Package record

An Ensemble Method for Combining Subset-Specific Algorithm Fits

0packages depend
3.2Kdownloads / year
–test coverage
8/13flavors OK

Overview

About

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.

Changes in 0.1.0
  • Fixed a bunch of CRAN issues; addressed all NOTES in R CMD BUILD --as-cran.
  • Fixed a warning in subsemble function.
  • Fixed typo in the example in subsemble.Rd and changed cvAUC to AUC function.
  • Added an example of subsemble using 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

CRAN checks
5NOTE8OK
Check messages
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'

CRAN check page ↗

Slowest check: 56 s · r-devel-windows-x86_64
Status changes
  • NOTE8 OK, 5 NOTENow
  • NOTE11 OK, 2 NOTE2026-09-12
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
README· In the repository, left out of the releaseVignettesNoNEWSYes · 33% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION
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

3.2K
CRAN downloads in the past year
Rank #14,171 · ~9/day · ~265/mo
Daily download trend is not available in this view yet.
32330 days
82890 days
3.2K1 year
Compare downloads with other packages →
Also on66 r2u4 autocran

Repository

43Stars
4Forks
1Open issues
0Open PRs
1Releases
25Commits
3Commit identities
ensembleensemble-learningcross-validationmachine-learningmachine-learning-algorithmsrbig-data
License file reads as Apache-2.0 · 25 commits · Last activity 2022-01-21
Responsiveness
How these are sampled
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

2024-02-25 · 432026-07-07 · 43
PracticesBeta

Checks run against github.com/ledell/subsemble on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)

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.

Depends (2)
R >= 2.14.0SuperLearner
Imports (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Maintainer since 0.0.8 (2014)
Releases (3)

Pick two releases to compare their code metrics.

  • 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
  • unarchivedReturned to CRAN
    2022-01-24
  • 0.1.0Latest
    record
    2022-01-24 · current release · diff ↗
  • 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
    record
    2014-07-01 · diff ↗
Show 2 earlier eventsHide 2 earlier events
  • 0.0.8
    record
    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) · 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")
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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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