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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✨
DESCRIPTION
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:

3.32 score 42 scripts 2 exports 17 dependencies

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

Target	Result	Time
linux-devel-x86_64	OK	165
source / vignettes	OK	205
linux-release-x86_64	OK	116
macos-release-arm64	OK	68
macos-oldrel-arm64	OK	78
windows-devel	OK	56
windows-release	OK	61
windows-oldrel	OK	77
wasm-release	OK	99

Exports:BWMR BWMR_quick

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle R6 RColorBrewer rlang S7 scales vctrs viridisLite withr

BWMR Package for causal inference based on summary statistics

Overview | Workflow

Rendered fromBWMR_package.Rnwusingutils::Sweave

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bayesian Weighted Mendelian Randomization	BWMR
Bayesian Weighted Mendelian Randomization (no plots)	BWMR_quick
Example Mendelian randomization genotype summary level dataset	ExampleData