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." .


Reference manual

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1.0.0 by Lai Jiang, 2 years ago


Report a bug at https://github.com/lailylajiang/hJAM/issues

Browse source code at https://github.com/cran/hJAM

Authors: Lai Jiang <[email protected]>

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports ggplot2, ggpubr, dplyr, reshape2

Suggests knitr, rmarkdown

See at CRAN