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GWASinlps

2.5

Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies

0packages depend
2.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Nilotpal SanyalFirst published 2017-11-109 releasesCRAN page ↗GitHub ↗

Performs variable selection with data from Genome-wide association studies (GWAS), or other high-dimensional data with continuous, binary or survival outcomes, combining in an iterative framework the computational efficiency of the structured screen-and-select variable selection strategy based on some association learning and the parsimonious uncertainty quantification provided by the use of non-local priors (see Sanyal et al., 2019 DOI:10.1093/bioinformatics/bty472).

Install

Health

CRAN checks
13OK
Slowest check: 3.9 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
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
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 533 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
94%
Return-value docs
100%
References docs
100%

Downloads

2.9K
CRAN downloads in the past year
Rank #11,224 · ~8/day · ~239/mo
Daily download trend is not available in this view yet.
22230 days
86890 days
2.9K1 year
Compare downloads with other packages →
Also on422 r2u15 autocran

Repository

Repository
0Stars
0Forks
0Open issues
1Open PRs
0Releases
gwashigh-dimensionalvariable-selectionnon-local-prior
Last activity 2026-01-22

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/nilotpalsanyal/gwasinlps on 2026-08-16.

Continuous integration (1)
GitHub Actions
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
Imports (4)
LinkingTo (2)
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

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

  • 2.5Latest
    2026-07-18 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 2.4
    2025-10-29 · diff ↗
  • unarchivedReturned to CRAN
    2025-10-29
  • archivedRemoved from CRAN
    2025-10-10
    requires archived package 'horseshoe'
  • R
    R 4.5.0 released · 2025-04-11
  • 2.3
    2024-10-20 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 2.2
    2022-11-23 · diff ↗
  • 2.1
    2022-09-17 · diff ↗
  • 2.0
    2022-09-14 · diff ↗
  • 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
Show 5 earlier events
  • 1.2
    2018-07-19 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.1
    2018-02-02 · diff ↗
  • 1.0
    2017-11-10
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-11-10
Total releases
9 / 9 yrs
License
GPL (>= 2) OSI
Download size
46 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GWASinlps")
Sanyal, N. (2026). GWASinlps: Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies (Version 2.5) [Computer software]. https://doi.org/10.32614/CRAN.package.GWASinlps

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 GWASinlps version 2.5 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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