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jrSiCKLSNMF

1.2.4Package record

Multimodal Single-Cell Omics Dimensionality Reduction

0packages depend
3.8Kdownloads / year
–test coverage
12/13flavors OK

Overview

About

Methods to perform Joint graph Regularized Single-Cell Kullback-Leibler Sparse Non-negative Matrix Factorization ('jrSiCKLSNMF', pronounced "junior sickles NMF") on quality controlled single-cell multimodal omics count data. 'jrSiCKLSNMF' specifically deals with dual-assay scRNA-seq and scATAC-seq data. This package contains functions to extract meaningful latent factors that are shared across omics modalities. These factors enable accurate cell-type clustering and facilitate visualizations. Methods for pre-processing, clustering, and mini-batch updates and other adaptations for larger datasets are also included. For further details on the methods used in this package please see Ellis, Roy, and Datta (2023) doi:10.3389/fgene.2023.1179439.

Changes in 1.2.4
  • Adjusted dependency on scran to dependency on bluster and replaced the buildSNNGraph and buildKNNGraph functions from scran with the makeSNNGraph and makeKNNGraph functions from bluster

From NEWS.md in the release

Install

Health

CRAN checks
1ERROR12OK
Check messages
ERRORpackage dependenciesr-oldrel-macos-arm64
Package required but not available: ‘bluster’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

CRAN check page ↗

Slowest check: 10.8 min · r-oldrel-windows-x86_64
Status changes
  • ERROR12 OK, 1 ERRORNow
  • ERROR6 OK, 6 WARNING, 1 ERROR2026-05-16
  • WARNING5 OK, 8 WARNING2026-05-10
  • ERROR5 OK, 7 WARNING, 1 ERROR2026-05-03
  • WARNING7 OK, 2 NOTE, 5 WARNING2026-04-22
  • ERROR6 OK, 2 NOTE, 5 WARNING, 1 ERROR2026-04-18
Show 3 earlier changesHide 3 earlier changes
  • WARNING9 OK, 2 NOTE, 3 WARNING2026-04-10
  • ERROR9 OK, 2 NOTE, 2 WARNING, 1 ERROR2026-04-09
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.2.4
READMEYes · 25 wordsVignettesYes · 3 · dynamicNEWSYes · 67% structured · mentions 1.2.4Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
20
Examples that run
88%14 run in a plain check · 2 never run
Exported functions with examples
94%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
60% with a bibliography file

Downloads

3.8K
CRAN downloads in the past year
Rank #5,863 · ~10/day · ~319/mo
Daily download trend is not available in this view yet.
60030 days
1.4K90 days
3.8K1 year
Compare downloads with other packages →
Also on358 r2u

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing jrSiCKLSNMF adds 130 packages (65 with compiled code, 121 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 1 more not on CRAN is not measured.

Depends (1)
R >= 3.5.0
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 1.2.1 (2023)
Contributor
Author of .nndsvd R adaptation
Contributor
Util.h function author, http://programmingnotes.org/
Thesis advisor
Releases (4)

Pick two releases to compare their code metrics.

  • 1.2.4Latest
    record
    2026-05-15 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-07-11
  • 1.2.3
    record
    2025-07-11 · diff ↗
  • archivedRemoved from CRAN
    2025-05-15
    requires archived package 'kknn'
  • R
    R 4.5.0 released · 2025-04-11
  • 1.2.2
    record
    2025-02-12 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.1
    record
    2023-07-06
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-07-06
Total releases
4 / 3 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
188 KB / 2 files
Download size
1.0 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("jrSiCKLSNMF")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.3389/fgene.2023.1179439.

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 jrSiCKLSNMF version 1.2.4 [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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