USCbiostats/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>.

Getting started

Package details

AuthorLai Jiang <jian848@usc.edu>
MaintainerLai Jiang <jian848@usc.edu>
LicenseMIT + file LICENSE
Version1.0.1
URL https://github.com/USCbiostats/hJAM
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("USCbiostats/hJAM")
USCbiostats/hJAM documentation built on Jan. 26, 2024, 5:27 p.m.