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hJAM: Hierarchical Joint Analysis of Marginal Summary Statistics
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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Package details |
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| Author | Lai Jiang <jian848@usc.edu> |
| Maintainer | Lai Jiang <jian848@usc.edu> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| URL | https://github.com/lailylajiang/hJAM |
| Package repository | View on CRAN |
| Installation |
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