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 2 months agofrom:2b0774b80c. Checks:3 OK, 4 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 04 2025
R-4.5-winNOTEJan 04 2025
R-4.5-linuxNOTEJan 04 2025
R-4.4-winNOTEJan 04 2025
R-4.4-macNOTEJan 04 2025
R-4.3-winOKJan 04 2025
R-4.3-macOKJan 04 2025

Exports:get_causaleffectget_causaleffectsget_edgeprobMrDAG

Dependencies:clicpp11gluegRbaseigraphlatticelifecyclemagrittrMatrixmvtnormpkgconfigrbibutilsRcppRcppArmadilloRcppEigenRdpackrlangvctrs