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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 mr.pivw_0.1.1.tar.gz 52.6 KiB
0.1.1 rolling linux/noble R-4.5 mr.pivw_0.1.1.tar.gz 52.6 KiB
0.1.1 rolling source/ R- mr.pivw_0.1.1.tar.gz 34.2 KiB
0.1.1 latest linux/jammy R-4.5 mr.pivw_0.1.1.tar.gz 52.6 KiB
0.1.1 latest linux/noble R-4.5 mr.pivw_0.1.1.tar.gz 52.6 KiB
0.1.1 latest source/ R- mr.pivw_0.1.1.tar.gz 34.2 KiB
0.1.1 2026-04-26 source/ R- mr.pivw_0.1.1.tar.gz 34.2 KiB
0.1.1 2026-04-23 source/ R- mr.pivw_0.1.1.tar.gz 34.2 KiB
0.1.1 2026-04-09 windows/windows R-4.5 mr.pivw_0.1.1.zip 55.7 KiB
0.1.1 2025-04-20 source/ R- mr.pivw_0.1.1.tar.gz 34.2 KiB