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SimSeq

1.4.0

Nonparametric Simulation of RNA-Seq Data

0packages depend
3Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Samuel BenidtFirst published 2014-02-184 releasesCRAN page ↗

RNA sequencing analysis methods are often derived by relying on hypothetical parametric models for read counts that are not likely to be precisely satisfied in practice. Methods are often tested by analyzing data that have been simulated according to the assumed model. This testing strategy can result in an overly optimistic view of the performance of an RNA-seq analysis method. We develop a data-based simulation algorithm for RNA-seq data. The vector of read counts simulated for a given experimental unit has a joint distribution that closely matches the distribution of a source RNA-seq dataset provided by the user. Users control the proportion of genes simulated to be differentially expressed (DE) and can provide a vector of weights to control the distribution of effect sizes. The algorithm requires a matrix of RNA-seq read counts with large sample sizes in at least two treatment groups. Many datasets are available that fit this standard.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 49 s · r-release-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
None
Vignettes
No
README
1
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Downloads

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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (1)
R >= 2.10.0
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Code Composition
Rd 599 (59%)R 410 (41%)
Code characteristics
Cyclomatic complexity
16.0 median / 89 max
Documented parameters
100%

Test coverage

Line coverage

Expression

Tests / Examples

Functions

3 3 exported

Complexity

36.7 avg / 89 max

Call network

3 nodes / 3 edges

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Lowest coverage

Per-function coverage is not measured for this package yet.

People & History

People (0)

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Release timeline

4 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
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.4.0Latest
    2015-11-23 · current release · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 1.3.0
    2015-03-07 · diff ↗
  • 1.2.0
    2014-12-10 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
Show 2 earlier events
  • 1.0.0
    2014-02-18
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2014-02-18
Total releases
4 / 12 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10.0
Bundled data
4.2 MB / 2 files
Download size
4.2 MB
Installed size
not tracked yet
With dependencies
not tracked yet