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RNAseqNet

0.1.5

Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation

0packages depend
3.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Nathalie VialaneixFirst published 2017-04-196 releasesCRAN page ↗

Infer log-linear Poisson Graphical Model with an auxiliary data set. Hot-deck multiple imputation method is used to improve the reliability of the inference with an auxiliary dataset. Standard log-linear Poisson graphical model can also be used for the inference and the Stability Approach for Regularization Selection (StARS) is implemented to drive the selection of the regularization parameter. The method is fully described in doi:10.1093/bioinformatics/btx819.

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
50%

Downloads

3.2K
CRAN downloads in the past year
Rank #12,900 · ~9/day · ~267/mo
Daily download trend is not available in this view yet.
22330 days
79690 days
3.2K1 year
Compare downloads with other packages →
Also on133 r2u30 autocran86 c2d4u

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.1.0ggplot2
Imports (6)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer · added in 0.1.3
Authors (2)
Author, Maintainer · added in 0.1.3
Listed in earlier versions (1)
no longer listed · 0.1.0 to 0.1.2
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
  • 0.1.5Latest
    2024-02-20 · current release · 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
  • 0.1.4
    2020-06-08 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.3
    2020-03-05 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.2
    2018-01-19 · diff ↗
  • 0.1.1
    2017-05-16 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.0
    2017-04-19
Show 1 earlier events
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-04-19
Total releases
6 / 9 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.1.0
Bundled data
255 KB / 2 files
Download size
1.4 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RNAseqNet")
Vialaneix, N., & Imbert, A. (2024). RNAseqNet: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation (Version 0.1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.RNAseqNet

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 RNAseqNet version 0.1.5 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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