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hypergate

0.8.5Package record

Machine Learning of Hyperrectangular Gating Strategies for High-Dimensional Cytometry

0packages depend
2.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Given a high-dimensional dataset that typically represents a cytometry dataset, and a subset of the datapoints, this algorithm outputs an hyperrectangle so that datapoints within the hyperrectangle best correspond to the specified subset. In essence, this allows the conversion of clustering algorithms' outputs to gating strategies outputs.

Install

Health

CRAN checks
13OK
Slowest check: 1.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.8.5
READMEYes · 824 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
25
Examples that run
85%11 run in a plain check (1 of them under a condition) · 2 hold no code
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
38%
Help pages citing references
4%
Vignettes (1)

Downloads

2.8K
CRAN downloads in the past year
Rank #13,475 · ~8/day · ~231/mo
Daily download trend is not available in this view yet.
29830 days
86490 days
2.8K1 year
Compare downloads with other packages →
Also on93 r2u6 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing hypergate adds no packages beyond those that come with R.

Depends (1)
R >= 3.5.0
Imports (4)
statsgrDevicesutilsgraphics
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Maintainer since 0.7 (2018), Author
Contributor · added in 0.8
Releases (6)

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
  • 0.8.5Latest
    record
    2024-01-16 · current release · diff ↗
  • 0.8.4
    record
    2023-08-31 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.8.3
    record
    2020-02-06 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.8.1
    record
    2019-04-17 · diff ↗
  • 0.8
    record
    2018-08-31 · diff ↗ ·
    added 4 exports
    hgate_info, hgate_pheno, hgate_rule, hgate_sample
  • 0.7
    record
    2018-05-14
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-05-14
Total releases
6 / 8 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
378 KB / 1 file
Download size
526 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hypergate")
Becht, E., & Granjeaud, S. (2024). hypergate: Machine Learning of Hyperrectangular Gating Strategies for High-Dimensional Cytometry (Version 0.8.5) [Computer software]. https://doi.org/10.32614/CRAN.package.hypergate

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 hypergate version 0.8.5 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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