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scISR

0.1.1Package record

Single-Cell Imputation using Subspace Regression

0packages depend
2.2Kdownloads / year
–test coverage
9/13flavors OK

Overview

About
Maintained by Duc TranCRAN page ↗GitHub ↗Issues ↗Declared funder: Tin Nguyen

Provides an imputation pipeline for single-cell RNA sequencing data. The 'scISR' method uses a hypothesis-testing technique to identify zero-valued entries that are most likely affected by dropout events and estimates the dropout values using a subspace regression model (Tran et.al. (2022) DOI:10.1038/s41598-022-06500-4).

Install

Health

CRAN checks
4NOTE9OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Duc Tran <duct@nevada.unr.edu>’

Package CITATION file contains call(s) to old-style personList() or
as.personList().  Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from:
  ‘markdown’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 1.7 min · r-oldrel-windows-x86_64
Status changes
  • NOTE9 OK, 4 NOTENow
  • NOTE10 OK, 4 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.1
READMEYes · 177 wordsVignettesYes · 1 · staticNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #20,239 · ~6/day · ~183/mo
Daily download trend is not available in this view yet.
21230 days
65990 days
2.2K1 year
Compare downloads with other packages →
Also on74 r2u

Repository

3Stars
2Forks
2Open issues
0Open PRs
0Releases
14Commits
2Commit identities
14 commits · Last activity 2022-06-30 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
4
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2024-07-26 · 32026-07-07 · 3
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/duct317/scisr on 2026-10-21.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing scISR adds 16 packages (10 with compiled code, 8.6 MB of source tarballs). Heaviest: mclust 2.7 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB. 1 more not on CRAN is not measured.

Depends (1)
R >= 3.4
Imports (9)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.1 (2022)
Author
Releases (1)
  • 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
  • 0.1.1Latest
    2022-06-30 · current release
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-06-30
Total releases
1 / 4 yrs
License
LGPL
Minimum R
≥ 3.4
Bundled data
569 KB / 1 file
Download size
588 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("scISR")

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

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 scISR version 0.1.1 [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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