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-4.4-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'))

Peer review:

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

On CRAN:

1.70 score 3 exports 2 dependencies

Last updated 10 months agofrom:83bcbe0792 (on suggestions). Checks:OK: 1 WARNING: 6. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winWARNINGOct 31 2024
R-4.5-linuxWARNINGOct 31 2024
R-4.4-winWARNINGOct 31 2024
R-4.4-macWARNINGOct 31 2024
R-4.3-winWARNINGOct 31 2024
R-4.3-macWARNINGOct 31 2024

Exports:misterigaussmisterigaussmixmisterimawii

Dependencies:alabamanumDeriv