Package: MR2 0.1.0

Leonardo Bottolo

MR2: Bayesian multi-response Mendelian randomisation

This package performs two-sample summary-level data Bayesian multi-response Mendelian randomisation with the selection of important exposures shared or distinct across responses. Post-processing and selection of exposures based on an in-house FDR implementation are also provided.

Authors:Leonardo Bottolo [aut, cre], Verena Zuber [aut, ctb]

MR2_0.1.0.tar.gz
MR2_0.1.0.zip(r-4.5)MR2_0.1.0.zip(r-4.4)MR2_0.1.0.zip(r-4.3)
MR2_0.1.0.tgz(r-4.5-any)MR2_0.1.0.tgz(r-4.4-any)MR2_0.1.0.tgz(r-4.3-any)
MR2_0.1.0.tar.gz(r-4.5-noble)MR2_0.1.0.tar.gz(r-4.4-noble)
MR2_0.1.0.tgz(r-4.4-emscripten)MR2_0.1.0.tgz(r-4.3-emscripten)
MR2.pdf |MR2.html✨
MR2/json (API)

# Install 'MR2' in R:
install.packages('MR2', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lb664/mr2/issues

On CRAN:

2.90 score 16 stars 8 exports 48 dependencies

Last updated 2 years agofrom:568dd7c950. Checks:1 OK, 7 WARNING. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 28 2025
R-4.5-winWARNINGJan 28 2025
R-4.5-macWARNINGJan 28 2025
R-4.5-linuxWARNINGJan 28 2025
R-4.4-winWARNINGJan 28 2025
R-4.4-macWARNINGJan 28 2025
R-4.3-winWARNINGJan 28 2025
R-4.3-macWARNINGJan 28 2025

Exports:BMM_EMFDR_BMMMR2PostProcScenario_CounfoundingScenario_DependenceScenario_MediationScenario_Pleiotropy

Dependencies:BDgraphBHclicodacolorspacecpp11fansifarverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmgcvmunsellmvnfastmvtnormnlmepillarpkgconfigplyrpROCquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangscalesSparseMsurvivaltibbletruncnormutf8vctrsviridisLitewithr