Package: MR2 0.1.0

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.

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

MR2_0.1.0.tar.gz
MR2_0.1.0.zip(r-4.5)MR2_0.1.0.zip(r-4.4)MR2_0.1.0.zip(r-4.3)
MR2_0.1.0.tgz(r-4.4-any)MR2_0.1.0.tgz(r-4.3-any)
MR2_0.1.0.tar.gz(r-4.5-noble)MR2_0.1.0.tar.gz(r-4.4-noble)
MR2_0.1.0.tgz(r-4.4-emscripten)MR2_0.1.0.tgz(r-4.3-emscripten)
MR2.pdf |MR2.html✨
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:

2.81 score 13 stars 8 exports 48 dependencies

Last updated 2 years agofrom:568dd7c950. Checks:OK: 1 WARNING: 6. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Oct 30 2024
R-4.5-win	WARNING	Oct 30 2024
R-4.5-linux	WARNING	Oct 30 2024
R-4.4-win	WARNING	Oct 30 2024
R-4.4-mac	WARNING	Oct 30 2024
R-4.3-win	WARNING	Oct 30 2024
R-4.3-mac	WARNING	Oct 30 2024

Exports:BMM_EM FDR_BMM MR2 PostProc Scenario_Counfounding Scenario_Dependence Scenario_Mediation Scenario_Pleiotropy

Dependencies:BDgraph BH cli coda colorspace cpp11 fansi farver ggplot2 glue gtable igraph isoband labeling lattice lifecycle magrittr MASS Matrix MatrixModels mcmc MCMCpack mgcv munsell mvnfast mvtnorm nlme pillar pkgconfig plyr pROC quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo Rdpack rlang scales SparseM survival tibble truncnorm utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Beta density finite mixture model	BMM_EM
Bayesian Variable Selection	BVS
False Discovery Rate based on Beta densities finite mixture model	FDR_BMM
Birth and Death sampler of non-decomposable graphs	mod_BDgraph
Birth and Death sampler of non-decomposable graphs	mod_BDgraphInit
MR2: Multi-response Mendelian randomization	MR2
Post-processing of MR2 output	PostProc
Sampler of decomposable graphs	Sample_G
Sampler of the binary latent variable	Sample_gamma
Simulated scenario: Confounding	Scenario_Counfounding
Simulated scenario: Dependence	Scenario_Dependence
Simulated scenario: Mediation	Scenario_Mediation
Simulated scenario: Pleiotropy	Scenario_Pleiotropy
Sampler of Hyper-Inverse Wishart	Sim_HIW