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mr.pivw  

Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/mr.pivw")

Install by package version:
library("remotes")
install_version("mr.pivw", "0.1.1")



Attach the package and use:
library("mr.pivw")
Maintained by
Siqi Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-16
Latest Update: 2022-09-09
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) .
How to cite:
Siqi Xu (2022). mr.pivw: Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization. R package version 0.1.1, https://cran.r-project.org/web/packages/mr.pivw
Previous versions and publish date:
0.1.0 (2022-08-16 11:50)
Other packages that cited mr.pivw R package
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Other R packages that mr.pivw depends, imports, suggests or enhances
Functions, R codes and Examples using the mr.pivw R package
Some associated functions: BF_distr . example . pIVW . 
Some associated R codes: BF_distr.R . mr.pIVW.R .  Full mr.pivw package functions and examples
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