Package: BWMR 0.1.1

The package maintainer

BWMR: Bayesian Weighted Mendelian Randomization (BWMR)

Inference the causality based on BWMR method.

Authors:Jia Zhao

BWMR_0.1.1.tar.gz
BWMR_0.1.1.zip(r-4.5)BWMR_0.1.1.zip(r-4.4)BWMR_0.1.1.zip(r-4.3)
BWMR_0.1.1.tgz(r-4.4-any)BWMR_0.1.1.tgz(r-4.3-any)
BWMR_0.1.1.tar.gz(r-4.5-noble)BWMR_0.1.1.tar.gz(r-4.4-noble)
BWMR_0.1.1.tgz(r-4.4-emscripten)BWMR_0.1.1.tgz(r-4.3-emscripten)
BWMR.pdf |BWMR.html✨
BWMR/json (API)

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

Peer review:

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

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

On CRAN:

3.30 score 40 scripts 3 exports 28 dependencies

Last updated 5 months agofrom:83198d5634 (on suggestions). Checks:OK: 1 WARNING: 6. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winWARNINGNov 09 2024
R-4.5-linuxWARNINGNov 09 2024
R-4.4-winWARNINGNov 09 2024
R-4.4-macWARNINGNov 09 2024
R-4.3-winWARNINGNov 09 2024
R-4.3-macWARNINGNov 09 2024

Exports:BWMRBWMR_quickELBO_func

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

BWMR Package for causal inference based on summary statistics

Rendered fromBWMR_package.Rnwusingutils::Sweaveon Nov 09 2024.

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