Package: mr.pivw 0.1.3

Siqi Xu

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>.

Authors:Siqi Xu

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mr.pivw.pdf |mr.pivw.html✨
mr.pivw/json (API)

# Install 'mr.pivw' in R:

install.packages('mr.pivw', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/siqixu/mr.pivw/issues

Datasets:

On CRAN:

2.70 score 1 scripts 170 downloads 2 exports 0 dependencies

Last updated 7 months agofrom:f28004ad6a. Checks:OK: 1 WARNING: 6. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 01 2024
R-4.5-win	WARNING	Nov 01 2024
R-4.5-linux	WARNING	Nov 01 2024
R-4.4-win	WARNING	Nov 01 2024
R-4.4-mac	WARNING	Nov 01 2024
R-4.3-win	WARNING	Nov 01 2024
R-4.3-mac	WARNING	Nov 01 2024