Hierarchical 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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- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 14
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 86%
- Documented parameters
- 100%
- Return-value docs
- 71%
- Help pages citing references
- 57%
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People & History
- archivedRemoved from CRAN2026-06-11email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.02020-02-20
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-02-20
- Total releases
- 1 / 6 yrs
- License
- MIT + file LICENSE OSI
- Bundled data
- 169 KB / 5 files
- Download size
- 651 KB
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