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:

2.88 score 5 stars 4 exports 18 dependencies

Last updated 17 days agofrom:2b0774b80c. Checks:OK: 3 NOTE: 4. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winNOTENov 05 2024
R-4.5-linuxNOTENov 05 2024
R-4.4-winNOTENov 05 2024
R-4.4-macNOTENov 05 2024
R-4.3-winOKNov 05 2024
R-4.3-macOKNov 05 2024

Exports:get_causaleffectget_causaleffectsget_edgeprobMrDAG

Dependencies:clicpp11gluegRbaseigraphlatticelifecyclemagrittrMatrixmvtnormpkgconfigrbibutilsRcppRcppArmadilloRcppEigenRdpackrlangvctrs