hJAM
1.0.0Hierarchical Joint Analysis of Marginal Summary Statistics
Overview
Provides functions to implement a hierarchical approach which is designed to perform joint analysis of summary statistics using the framework of Mendelian Randomization or transcriptome analysis. Reference: Lai Jiang, Shujing Xu, Nicholas Mancuso, Paul J. Newcombe, David V. Conti (2020). "A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian Randomization or Transcriptome Analysis." <bioRxiv>doi:10.1101/2020.02.03.924241.
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- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 71%
- References docs
- 57%
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People & History
1 release. R releases are shown for context.
- archivedRemoved from CRAN2026-06-11email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- 1.0.02026-03-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- Total releases
- 1
- License
- MIT + file LICENSE OSI
- Bundled data
- 169 KB / 5 files
- Download size
- 651 KB
- Installed size
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- With dependencies
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