Package: BWMR 0.1.1

Jia Zhao

BWMR: Bayesian Weighted Mendelian Randomization (BWMR)

Inference the causality based on BWMR method.

Authors:Jia Zhao [aut, cre]

BWMR_0.1.1.tar.gz
BWMR_0.1.1.zip(r-4.7)BWMR_0.1.1.zip(r-4.6)BWMR_0.1.1.zip(r-4.5)
BWMR_0.1.1.tgz(r-4.6-any)BWMR_0.1.1.tgz(r-4.5-any)
BWMR_0.1.1.tar.gz(r-4.7-any)BWMR_0.1.1.tar.gz(r-4.6-any)
BWMR_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BWMR/json (API)

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

Bug tracker:https://github.com/jiazhao97/bwmr/issues

Datasets:
  • ExampleData - Example Mendelian randomization genotype summary level dataset

On CRAN:

Conda:

3.32 score 42 scripts 2 exports 17 dependencies

Last updated from:481637f636 (on suggestions). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK169
linux-release-x86_64OK102
macos-release-arm64OK70
macos-oldrel-arm64OK83
windows-develOK77
windows-releaseOK65
windows-oldrelOK67
wasm-releaseOK94

Exports:BWMRBWMR_quick

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr

BWMR Package for causal inference based on summary statistics

Rendered fromBWMR_package.Rnwusingutils::Sweaveon May 31 2026.

Last update: 2024-06-12
Started: 2019-07-21