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graphsim

1.0.4

Simulate Expression Data from 'igraph' Networks

1packages depend
8.7Kdownloads / year
0.0%test coverage
8/13checks pass

Overview

About
Maintained by S. Thomas KellyFirst published 2020-03-166 releasesCRAN page ↗GitHub ↗

Functions to develop simulated continuous data (e.g., gene expression) from a sigma covariance matrix derived from a graph structure in 'igraph' objects. Intended to extend 'mvtnorm' to take 'igraph' structures rather than sigma matrices as input. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. Here we present a versatile statistical framework to simulate correlated gene expression data from biological pathways, by sampling from a multivariate normal distribution derived from a graph structure. This package allows the simulation of biological pathways from a graph structure based on a statistical model of gene expression. For example methods to infer biological pathways and gene regulatory networks from gene expression data can be tested on simulated datasets using this framework. This also allows for pathway structures to be considered as a confounding variable when simulating gene expression data to test the performance of genomic analyses.

Install

Health

CRAN checks
5NOTE8OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
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Slowest check: 2.5 min · r-devel-linux-x86_64-fedora-clang
Code health
Yes
Tests · ratio 0.28
0.0%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • NOTE2026-07-16
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 590 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
94%
Return-value docs
100%
References docs
0%

Downloads

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Repository

Repository
25Stars
7Forks
0Open issues
0Open PRs
9Releases
432Commits
3Contributors
r-statsigraph-networkssimulated-datagraph-algorithmspackagejossgeneticsgene-expression
License GPL-3.0 · 432 commits · Last activity 2025-05-12 · 0% stars, 30d

Stars over time

2024-12-09 · 242026-07-07 · 25

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/tomkellygenetics/graphsim on 2026-07-26.

Continuous integration (3)
Travis CIAppVeyorCircleCI
CRAN release process (1)
cran-comments.md
Research and citation (1)
CITATION.cff
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Governance and community (1)
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Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (6)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author, Thesis advisor
Contributors (2)
Contributor · added in 1.0.1
Contributor · added in 1.0.1
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
  • 1.0.4Latest
    2025-05-13 · current release · diff ↗
  • 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
  • 1.0.3
    2022-09-12 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.2
    2021-07-30 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.1
    2020-07-17 · diff ↗
  • 1.0.0
    2020-07-02 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.2
    2020-03-16
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-03-16
Total releases
6 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
140 KB / 4 files
Download size
1.7 MB
Installed size
not tracked yet
With dependencies
not tracked yet
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