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csmGmm

0.5.0

Conditionally Symmetric Multidimensional Gaussian Mixture Model

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Overview

About
Maintained by Ryan SunFirst published 2024-12-033 releasesCRAN page ↗

Implements the conditionally symmetric multidimensional Gaussian mixture model (csmGmm) for large-scale testing of composite null hypotheses in genetic association applications such as mediation analysis, pleiotropy analysis, and replication analysis. In such analyses, we typically have J sets of K test statistics where K is a small number (e.g. 2 or 3) and J is large (e.g. 1 million). For each one of the J sets, we want to know if we can reject all K individual nulls. Please see the vignette for a quickstart guide. The paper describing these methods is "Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies" by Sun R, McCaw Z, & Lin X (Journal of the American Statistical Association 2025, doi:10.1080/01621459.2024.2422124).

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  • OK2026-03-10
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Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
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Code & Tests

People & History

People (2)
Maintainer (1)
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Authors (2)
Author, Maintainer
Author · added in 0.5.0
Package Timeline

3 releases. R releases are shown for context.

  • 0.5.0Latest
    2026-06-16 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.4.0
    2025-09-16 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.3.0
    2024-12-03
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-12-03
Total releases
3 / 2 yrs
License
GPL-3 OSI
Download size
28 KB
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not tracked yet
With dependencies
not tracked yet
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