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mr.pivw (version 0.1.1)

Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization

Description

The penalized inverse-variance weighted (pIVW) estimator is a Mendelian randomization method for estimating the causal effect of an exposure variable on an outcome of interest based on summary-level GWAS data. The pIVW estimator accounts for weak instruments and balanced horizontal pleiotropy simultaneously. See Xu S., Wang P., Fung W.K. and Liu Z. (2022) .

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Install

install.packages('mr.pivw')

Monthly Downloads

157

Version

0.1.1

License

GPL-2

Maintainer

Siqi Xu

Last Published

September 9th, 2022

Functions in mr.pivw (0.1.1)

BF_distr

Generate bootstrap samples for the bootstrapping Fieller's confidence interval
mr.pivw

The penalized inverse-variance weighted estimator for Mendelian randomization
example

Data example