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>.

Version:	1.0.0
Imports:	ggplot2, ggpubr, dplyr, reshape2
Suggests:	knitr, rmarkdown
Published:	2020-02-20
DOI:	10.32614/CRAN.package.hJAM
Author:	Lai Jiang
Maintainer:	Lai Jiang <jian848 at usc.edu>
BugReports:	https://github.com/lailylajiang/hJAM/issues
License:	MIT + file LICENSE
URL:	https://github.com/lailylajiang/hJAM
NeedsCompilation:	no
Materials:	README
CRAN checks:	hJAM results

Documentation:

Reference manual:	hJAM.pdf
Vignettes:	hJAM vignette

Downloads:

Package source:	hJAM_1.0.0.tar.gz
Windows binaries:	r-devel: hJAM_1.0.0.zip, r-release: hJAM_1.0.0.zip, r-oldrel: hJAM_1.0.0.zip
macOS binaries:	r-release (arm64): hJAM_1.0.0.tgz, r-oldrel (arm64): hJAM_1.0.0.tgz, r-release (x86_64): hJAM_1.0.0.tgz, r-oldrel (x86_64): hJAM_1.0.0.tgz

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