PPMR: Probabilistic Two Sample Mendelian Randomization

Efficient statistical inference of two-sample MR (Mendelian Randomization) analysis. It can account for the correlated instruments and the horizontal pleiotropy, and can provide the accurate estimates of both causal effect and horizontal pleiotropy effect as well as the two corresponding p-values. There are two main functions in the 'PPMR' package. One is PMR_individual() for individual level data, the other is PMR_summary() for summary data.

Version:	1.0
Depends:	R (≥ 3.5.0)
Imports:	Rcpp (≥ 1.0.0)
LinkingTo:	Rcpp, RcppArmadillo
Published:	2019-08-09
DOI:	10.32614/CRAN.package.PPMR
Author:	Zhongshang Yuan [aut], Xiang Zhou [aut], Michael Kleinsasser [cre]
Maintainer:	Michael Kleinsasser <mkleinsa at umich.edu>
BugReports:	https://github.com/umich-biostatistics/PPMR/issues
License:	GPL-3
NeedsCompilation:	yes
Materials:	README
CRAN checks:	PPMR results

Documentation:

Reference manual:

PPMR.pdf

Downloads:

Package source:	PPMR_1.0.tar.gz
Windows binaries:	r-devel: PPMR_1.0.zip, r-release: PPMR_1.0.zip, r-oldrel: PPMR_1.0.zip
macOS binaries:	r-release (arm64): PPMR_1.0.tgz, r-oldrel (arm64): PPMR_1.0.tgz, r-release (x86_64): PPMR_1.0.tgz, r-oldrel (x86_64): PPMR_1.0.tgz

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