Package: MR2 0.1.1

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_0.1.1.tar.gz
MR2_0.1.1.zip(r-4.7)MR2_0.1.1.zip(r-4.6)MR2_0.1.1.zip(r-4.5)
MR2_0.1.1.tgz(r-4.6-any)MR2_0.1.1.tgz(r-4.5-any)
MR2_0.1.1.tar.gz(r-4.7-any)MR2_0.1.1.tar.gz(r-4.6-any)
MR2_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

Conda:

3.02 score 21 stars 8 exports 40 dependencies

Last updated from:ff1774747c. Checks:7 WARNING, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING1211
source / vignettesOK189
linux-release-x86_64WARNING1364
macos-release-arm64WARNING1205
macos-oldrel-arm64WARNING989
windows-develWARNING1195
windows-releaseWARNING1293
windows-oldrelWARNING1092
wasm-releaseOK123

Exports:BMM_EMFDR_BMMMR2PostProcScenario_ConfoundingScenario_DependenceScenario_MediationScenario_Pleiotropy

Dependencies:BDgraphBHclicodacpp11farverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmvnfastmvtnormpkgconfigpROCquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangS7scalesSparseMsurvivaltruncnormvctrsviridisLitewithr