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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 |
| Reference manual: | mr.pivw.pdf |
| 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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These binaries (installable software) and packages are in development.
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