Package: MRMiSTERI 0.1.0

Zhonghua Liu

MRMiSTERI: Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation

This package performs robust Mendelian randomization to estimate the effect of treatment on the treated with possibly invalid IVs.

Authors:Zhonghua Liu, Ting Ye, Baoluo Sun and Eric Tchetgen Tchetgen

MRMiSTERI_0.1.0.tar.gz
MRMiSTERI_0.1.0.zip(r-4.5)MRMiSTERI_0.1.0.zip(r-4.4)MRMiSTERI_0.1.0.zip(r-4.3)
MRMiSTERI_0.1.0.tgz(r-4.5-any)MRMiSTERI_0.1.0.tgz(r-4.4-any)MRMiSTERI_0.1.0.tgz(r-4.3-any)
MRMiSTERI_0.1.0.tar.gz(r-4.5-noble)MRMiSTERI_0.1.0.tar.gz(r-4.4-noble)
MRMiSTERI_0.1.0.tgz(r-4.4-emscripten)MRMiSTERI_0.1.0.tgz(r-4.3-emscripten)
MRMiSTERI.pdf |MRMiSTERI.html✨
MRMiSTERI/json (API)

# Install 'MRMiSTERI' in R:
install.packages('MRMiSTERI', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/remlapmot/mrmisteri/issues

On CRAN:

Conda:

1.70 score 3 exports 2 dependencies

Last updated 1 years agofrom:83bcbe0792 (on suggestions). Checks:1 OK, 7 WARNING. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 28 2025
R-4.5-winWARNINGFeb 28 2025
R-4.5-macWARNINGFeb 28 2025
R-4.5-linuxWARNINGFeb 28 2025
R-4.4-winWARNINGFeb 28 2025
R-4.4-macWARNINGFeb 28 2025
R-4.3-winWARNINGFeb 28 2025
R-4.3-macWARNINGFeb 28 2025

Exports:misterigaussmisterigaussmixmisterimawii

Dependencies:alabamanumDeriv