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-4.7)MRMiSTERI_0.1.0.zip(r-4.6)MRMiSTERI_0.1.0.zip(r-4.5)
MRMiSTERI_0.1.0.tgz(r-4.6-any)MRMiSTERI_0.1.0.tgz(r-4.5-any)
MRMiSTERI_0.1.0.tar.gz(r-4.7-any)MRMiSTERI_0.1.0.tar.gz(r-4.6-any)
MRMiSTERI_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:83bcbe0792 (on suggestions). Checks:7 WARNING, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING103
source / vignettesOK136
linux-release-x86_64WARNING97
macos-release-arm64WARNING64
macos-oldrel-arm64WARNING74
windows-develWARNING68
windows-releaseWARNING60
windows-oldrelWARNING70
wasm-releaseOK87

Exports:misterigaussmisterigaussmixmisterimawii

Dependencies:alabamanumDeriv