Package: MR2 0.2.0

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. The graphical-model Markov chain Monte Carlo engine can be accelerated with a compiled Rcpp/RcppArmadillo implementation.

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

MR2_0.2.0.tar.gz
MR2_0.1.1.zip(r-4.7-any)MR2_0.1.1.zip(r-4.6-any)MR2_0.1.1.zip(r-4.5-any)
MR2_0.2.0.tgz(r-4.6-x86_64)MR2_0.2.0.tgz(r-4.6-arm64)MR2_0.2.0.tgz(r-4.5-x86_64)MR2_0.2.0.tgz(r-4.5-arm64)
MR2_0.2.0.tar.gz(r-4.7-arm64)MR2_0.2.0.tar.gz(r-4.7-x86_64)MR2_0.2.0.tar.gz(r-4.6-arm64)MR2_0.2.0.tar.gz(r-4.6-x86_64)
MR2_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

3.02 score 21 stars 1 scripts 8 exports 31 dependencies

Last updated from:ecc4168d47. Checks:8 NOTE, 2 OK, 5 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE91
linux-devel-x86_64NOTE138
source / vignettesOK222
linux-release-arm64NOTE132
linux-release-x86_64NOTE126
macos-release-arm64NOTE103
macos-release-x86_64NOTE271
macos-oldrel-arm64NOTE89
macos-oldrel-x86_64NOTE306
windows-devel-arm64FAIL177
windows-devel-x86_64FAIL91
windows-release-arm64FAIL172
windows-release-x86_64FAIL85
windows-oldrel-x86_64FAIL88
wasm-releaseOK114

Exports:BMM_EMFDR_BMMMR2PostProcScenario_ConfoundingScenario_DependenceScenario_MediationScenario_Pleiotropy

Dependencies:BDgraphBHclicpp11farverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmvnfastpkgconfigpROCR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangS7scalesvctrsviridisLitewithr