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hicream

0.0.4Package record

HIC diffeREntial Analysis Method

0packages depend
2.7Kdownloads / year
–test coverage
10/13flavors OK

Overview

About

Perform Hi-C data differential analysis based on pixel-level differential analysis and a post hoc inference strategy to quantify signal in clusters of pixels. Clusters of pixels are obtained through a connectivity-constrained two-dimensional hierarchical clustering.

Changes in 0.0.4

Fixes

  • fixed a bug related to improper handling of pd.DataFrame in reticulate

From NEWS.md in the release

Install

Health

CRAN checks
2ERROR1NOTE10OK
Check messages
ERRORpackage dependenciesr-oldrel-macos-arm64, r-oldrel-macos-x86_64
Package required but not available: ‘diffHic’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
NOTEfor detritus in the temp directoryr-devel-linux-x86_64-fedora-gcc
Found the following files/directories:
  ‘uv-setuptools-987040711f7d76f1.lock’

CRAN check page ↗

Slowest check: 10.8 min · r-oldrel-windows-x86_64
Status changes
  • ERROR10 OK, 1 NOTE, 2 ERRORNow
  • ERROR10 OK, 4 ERROR2026-03-10
Advisories

none known

Documentation

In release 0.0.4
READMEYes · 504 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 0.0.4Citation fileNoWebsiteYes
Help pages
5
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
20%

Downloads

2.7K
CRAN downloads in the past year
Rank #15,612 · ~7/day · ~224/mo
Daily download trend is not available in this view yet.
27230 days
78790 days
2.7K1 year
Compare downloads with other packages →
Also on84 r2u

Repository

1Stars
1Forks
4Open issues
0Open PRs
0Releases
132Commits
6Commit identities
R-packageHi-Cdifferential analysispost hoc inferenceMIAT software
License file reads as GPL-3.0 · 132 commits · Last activity 2026-01-13
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
GitHub only
Median days to close, 50 most recently updated closed PRs
GitHub only
PracticesBeta

Repository forge.inrae.fr/scales/hicream is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

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

Dependencies

Declared dependencies
19 external dependencies (excludes base and recommended)

Installing hicream adds 64 packages (35 with compiled code, 50 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, dendextend 4.5 MB. 11 more not on CRAN are not measured.

Depends (2)
R >= 4.0.0reticulate
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (9)
Author, Maintainer since 0.0.1 (2025)
Author · added in 0.0.2
Contributor
Contributor
Contributor
Releases (4)

Pick two releases to compare their code metrics.

Package metadata

First published
2025-07-25
Total releases
4 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.0.0
Bundled data
2.3 KB / 1 file
Download size
725 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hicream")
Jorge, E., Blanchard, G., Durand, G., Enjalbert-Courrech, N., Foissac, S., Hocking, T., Neuvial, P., Roquain, E., & Vialaneix, N. (2026). hicream: HIC diffeREntial Analysis Method (Version 0.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.hicream

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 hicream version 0.0.4 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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