To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GMRP")

In most cases, you don't need to download the package archive at all.

GMRP

DOI: 10.18129/B9.bioc.GMRP    

GWAS-based Mendelian Randomization and Path Analyses

Bioconductor version: Release (3.6)

Perform Mendelian randomization analysis of multiple SNPs to determine risk factors causing disease of study and to exclude confounding variabels and perform path analysis to construct path of risk factors to the disease.

Author: Yuan-De Tan and Dajiang Liu

Maintainer: Yuan-De Tan <tanyuande at gmail.com>

Citation (from within R, enter citation("GMRP")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GMRP")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GMRP")

 

PDF R Script Causal Effect Analysis of Risk Factors for Disease with the "GMRP" package
PDF   Reference Manual

Details

biocViews Regression, SNP, Sequencing, Software
Version 1.5.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
License GPL (>= 2)
Depends R (>= 3.3.0), stats, utils, graphics, grDevices, diagram, plotrix, base, GenomicRanges
Imports
LinkingTo
Suggests BiocStyle, BiocGenerics, VariantAnnotation
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GMRP_1.5.0.tar.gz
Windows Binary GMRP_1.5.0.zip
Mac OS X 10.11 (El Capitan) GMRP_1.5.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GMRP
Package Short Url http://bioconductor.org/packages/GMRP/
Package Downloads Report Download Stats

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