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PPMR  

Probabilistic Two Sample Mendelian Randomization
View on CRAN: Click here


Download and install PPMR package within the R console
Install from CRAN:
install.packages("PPMR")

Install from Github:
library("remotes")
install_github("cran/PPMR")

Install by package version:
library("remotes")
install_version("PPMR", "1.0.1")



Attach the package and use:
library("PPMR")
Maintained by
Michael Kleinsasser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-09
Latest Update: 2019-08-09
Description:
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.
How to cite:
Michael Kleinsasser (2019). PPMR: Probabilistic Two Sample Mendelian Randomization. R package version 1.0.1, https://cran.r-project.org/web/packages/PPMR. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:16), 1.0 (2019-08-09 12:20)
Other packages that cited PPMR R package
View PPMR citation profile
Other R packages that PPMR depends, imports, suggests or enhances
Complete documentation for PPMR
Functions, R codes and Examples using the PPMR R package
Some associated functions: Exampleindividual . Examplesummary . PMR_individual . PMR_summary . 
Some associated R codes: RcppExports.R . data.R .  Full PPMR package functions and examples
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