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>.

Package details

AuthorLai Jiang <jian848@usc.edu>
MaintainerLai Jiang <jian848@usc.edu>
LicenseMIT + file LICENSE
URL https://github.com/lailylajiang/hJAM
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the hJAM package in your browser

Any scripts or data that you put into this service are public.

hJAM documentation built on March 26, 2020, 8:13 p.m.