Package: mr.divw 0.1.0

Ting Ye

mr.divw: debiased inverse-variance weighted estimator for univariable and multivariable Mendelian randomization

Perform causal effect estimation for summary-data Mendelian randomization using IVW, dIVW and MV-SRIVW estimators.

Authors:Ting Ye [aut, cre], Yinxiang Wu [aut]

mr.divw_0.1.0.tar.gz
mr.divw_0.1.0.zip(r-4.7)mr.divw_0.1.0.zip(r-4.6)mr.divw_0.1.0.zip(r-4.5)
mr.divw_0.1.0.tgz(r-4.6-any)mr.divw_0.1.0.tgz(r-4.5-any)
mr.divw_0.1.0.tar.gz(r-4.7-any)mr.divw_0.1.0.tar.gz(r-4.6-any)
mr.divw_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mr.divw/json (API)

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

Bug tracker:https://github.com/remlapmot/mr.divw/issues

Datasets:

On CRAN:

Conda:

2.26 score 12 scripts 7 exports 0 dependencies

Last updated from:9c855e04fc (on suggestions). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK100
source / vignettesOK163
linux-release-x86_64OK96
macos-release-arm64OK106
macos-oldrel-arm64OK77
windows-develOK66
windows-releaseOK60
windows-oldrelOK50
wasm-releaseOK77

Exports:data_gen_individualdata_gen_summarymr.divwmr.eomvmr.ivwmvmr.srivwtable_publish

Dependencies: