The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=mr.pivw to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.