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SIP

0.1.0

Single-Iteration Permutation for Large-Scale Biobank Data

0packages depend
1.4Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Aubrey AnnisFirst published 2025-12-091 releasesCRAN page ↗GitHub ↗

A single, phenome-wide permutation of large-scale biobank data. When a large number of phenotypes are analyzed in parallel, a single permutation across all phenotypes followed by genetic association analyses of the permuted data enables estimation of false discovery rates (FDRs) across the phenome. These FDR estimates provide a significance criterion for interpreting genetic associations in a biobank context. For the basic permutation of unrelated samples, this package takes a sample-by-variable file with ID, genotypic covariates, phenotypic covariates, and phenotypes as input. For data with related samples, it also takes a file with sample pair-wise identity-by-descent information. The function outputs a permuted sample-by-variable file ready for genome-wide association analysis. See Annis et al. (2021) doi:10.21203/rs.3.rs-873449/v1 for details.

Install

Health

CRAN checks
13OK
Slowest check: 1.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,229 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
42%
Return-value docs
100%
References docs
0%

Downloads

1.4K
CRAN downloads in the past year
Rank #23,212 · ~4/day · ~117/mo
Daily download trend is not available in this view yet.
8030 days
43890 days
1.4K1 year
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Also on71 r2u14 autocran

Repository

Repository
0Stars
1Forks
0Open issues
0Open PRs
0Releases
34Commits
2Contributors
34 commits · Last activity 2026-06-26

Forks over time

2025-10-28 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/acannis/sip on 2026-08-09.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
Imports (3)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-12-09
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5
Bundled data
1.4 MB / 3 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("SIP")
Annis, A. (2025). SIP: Single-Iteration Permutation for Large-Scale Biobank Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.SIP

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 SIP version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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