Package: MrDAG 0.1.0

Leonardo Bottolo

MrDAG: MrDAG: Mendelian randomization (MR) with Bayesian Directed Acyclic (DAG) Graphs exploration and causal effects estimation

This package performs Mendelian randomization for multiple exposures and outcomes with Bayesian Directed Acyclic Graphs exploration and causal effects estimation.

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

MrDAG_0.1.0.tar.gz
MrDAG_0.1.0.zip(r-4.5)MrDAG_0.1.0.zip(r-4.4)MrDAG_0.1.0.zip(r-4.3)
MrDAG_0.1.0.tgz(r-4.4-any)MrDAG_0.1.0.tgz(r-4.3-any)
MrDAG_0.1.0.tar.gz(r-4.5-noble)MrDAG_0.1.0.tar.gz(r-4.4-noble)
MrDAG_0.1.0.tgz(r-4.4-emscripten)MrDAG_0.1.0.tgz(r-4.3-emscripten)
MrDAG.pdf |MrDAG.html✨
MrDAG/json (API)

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

Peer review:

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

Datasets:
  • LBT2MD_data - MrDAG data set: Lifestyle and behavioural exposures that might impact mental health phenotypes
  • MD2LBT_data - MrDAG data set: Mental health phenotypes that might impact lifestyle and behavioural traits

On CRAN:

4 exports 5 stars 2.70 score 18 dependencies

Last updated 3 months agofrom:06d8ba4203. Checks:OK: 3 NOTE: 4. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 22 2024
R-4.5-winNOTESep 22 2024
R-4.5-linuxNOTESep 22 2024
R-4.4-winNOTESep 22 2024
R-4.4-macNOTESep 22 2024
R-4.3-winOKSep 22 2024
R-4.3-macOKSep 22 2024

Exports:get_causaleffectget_causaleffectsget_edgeprobMrDAG

Dependencies:clicpp11gluegRbaseigraphlatticelifecyclemagrittrMatrixmvtnormpkgconfigrbibutilsRcppRcppArmadilloRcppEigenRdpackrlangvctrs