mr.pivw: Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization

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) <doi:10.1111/biom.13732>.

Version:	0.1.1
Depends:	R (≥ 3.5.0)
Published:	2022-09-09
DOI:	10.32614/CRAN.package.mr.pivw
Author:	Siqi Xu
Maintainer:	Siqi Xu <sqxu at hku.hk>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	mr.pivw results

Documentation:

Reference manual:

mr.pivw.pdf

Downloads:

Package source:	mr.pivw_0.1.1.tar.gz
Windows binaries:	r-devel: mr.pivw_0.1.1.zip, r-release: mr.pivw_0.1.1.zip, r-oldrel: mr.pivw_0.1.1.zip
macOS binaries:	r-release (arm64): mr.pivw_0.1.1.tgz, r-oldrel (arm64): mr.pivw_0.1.1.tgz, r-release (x86_64): mr.pivw_0.1.1.tgz, r-oldrel (x86_64): mr.pivw_0.1.1.tgz
Old sources:	mr.pivw archive

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