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." .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("hJAM")

1.0.0 by Lai Jiang, 2 months ago


https://github.com/lailylajiang/hJAM


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