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 |
Author: |
Siqi Xu |
Maintainer: |
Siqi Xu <sqxu at hku.hk> |
License: |
GPL-2 |
NeedsCompilation: |
no |
CRAN checks: |
mr.pivw results |
Documentation:
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