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SMDIC

0.1.6Package record

Identification of Somatic Mutation-Driven Immune Cells

0packages depend
3.4Kdownloads / year
–test coverage
12/13flavors OK

Overview

About

A computing tool is developed to automated identify somatic mutation-driven immune cells. The operation modes including: i) inferring the relative abundance matrix of tumor-infiltrating immune cells and integrating it with a particular gene mutation status, ii) detecting differential immune cells with respect to the gene mutation status and converting the abundance matrix of significant differential immune cell into two binary matrices (one for up-regulated and one for down-regulated), iii) identifying somatic mutation-driven immune cells by comparing the gene mutation status with each immune cell in the binary matrices across all samples, and iv) visualization of immune cell abundance of samples in different mutation status..

Install

Health

CRAN checks
1ERROR12OK
Check messages
ERRORpackage dependenciesr-patched-linux-x86_64
Package required but not available: ‘GSVA’

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

CRAN check page ↗

Slowest check: 10.5 min · r-oldrel-windows-x86_64
Status changes
  • ERROR12 OK, 1 ERROR2026-10-15
  • OK13 OK2026-09-24
  • ERROR12 OK, 1 ERROR2026-09-17
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
Show 15 earlier changesHide 15 earlier changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-26
  • ERROR12 OK, 1 ERROR2026-07-19
  • OK13 OK2026-06-27
  • ERROR12 OK, 1 ERROR2026-06-21
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-10
  • ERROR12 OK, 1 ERROR2026-05-03
  • OK13 OK2026-04-30
  • ERROR13 OK, 1 ERROR2026-04-09
  • OK14 OK2026-03-16
  • ERROR13 OK, 1 ERROR2026-03-13
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.6
READMEYes · 159 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
16includes a package overview page
Examples that run
100%9 run in a plain check
Exported functions with examples
90%
Documented parameters
97%
Return-value docs
60%
Help pages citing references
38%
Vignettes (1)

Downloads

3.4K
CRAN downloads in the past year
Rank #10,135 · ~9/day · ~284/mo
Daily download trend is not available in this view yet.
35430 days
1K90 days
3.4K1 year
Compare downloads with other packages →
Also on116 r2u

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing SMDIC adds 113 packages (62 with compiled code, 100 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB. 4 more not on CRAN are not measured.

Depends (2)
R >= 4.3.0GSVA
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Maintainer since 0.1.0 (2020)
Releases (7)

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
  • 0.1.6Latest
    record
    2024-10-16 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.5
    record
    2024-01-12 · diff ↗
  • 0.1.4
    record
    2023-08-29 · 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
  • unarchivedReturned to CRAN
    2020-11-13
  • 0.1.3
    record
    2020-11-13 · diff ↗
  • archivedRemoved from CRAN
    2020-10-02
    check issues were not corrected in time
  • 0.1.2
    record
    2020-07-05 · diff ↗
  • 0.1.1
    record
    2020-06-21 · diff ↗
  • 0.1.0
    record
    2020-06-16
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-06-16
Total releases
7 / 6 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.3.0
Bundled data
1.9 MB / 2 files
Download size
3.3 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("SMDIC")

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

It points to 10.3389/fcell.2021.715275.

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 SMDIC version 0.1.6 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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