zixuanwu1
. See also theR-universe documentation.Package: FLOWMR 1.0
FLOWMR: An R Package for Mendelian Randomization in the mediation setting
A Bayesian framework for Mendelian Randomization in the mediation setting.
Authors:
FLOWMR_1.0.tar.gz
FLOWMR_1.0.zip(r-4.5)FLOWMR_1.0.zip(r-4.4)FLOWMR_1.0.zip(r-4.3)
FLOWMR_1.0.tgz(r-4.5-x86_64)FLOWMR_1.0.tgz(r-4.5-arm64)FLOWMR_1.0.tgz(r-4.4-x86_64)FLOWMR_1.0.tgz(r-4.4-arm64)FLOWMR_1.0.tgz(r-4.3-x86_64)FLOWMR_1.0.tgz(r-4.3-arm64)
FLOWMR_1.0.tar.gz(r-4.5-noble)FLOWMR_1.0.tar.gz(r-4.4-noble)
FLOWMR_1.0.tgz(r-4.4-emscripten)FLOWMR_1.0.tgz(r-4.3-emscripten)
FLOWMR.pdf |FLOWMR.html✨
FLOWMR/json (API)
# Install 'FLOWMR' in R: |
install.packages('FLOWMR', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zixuanwu1/flow-mr/issues
Last updated 13 hours agofrom:2165c20f08. Checks:1 ERROR, 11 WARNING. Indexed: no.
Target | Result | Latest binary |
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Doc / Vignettes | FAIL | Mar 13 2025 |
R-4.5-win-x86_64 | WARNING | Mar 13 2025 |
R-4.5-mac-x86_64 | WARNING | Mar 13 2025 |
R-4.5-mac-aarch64 | WARNING | Mar 13 2025 |
R-4.5-linux-x86_64 | WARNING | Mar 13 2025 |
R-4.4-win-x86_64 | WARNING | Mar 13 2025 |
R-4.4-mac-x86_64 | WARNING | Mar 13 2025 |
R-4.4-mac-aarch64 | WARNING | Mar 13 2025 |
R-4.4-linux-x86_64 | WARNING | Mar 13 2025 |
R-4.3-win-x86_64 | WARNING | Mar 13 2025 |
R-4.3-mac-x86_64 | WARNING | Mar 13 2025 |
R-4.3-mac-aarch64 | WARNING | Mar 13 2025 |
Exports:BayesMediationcompute_totalconvertestimatesgibbs_samplergibbs_sampler_with_corrgibbs_wrapperindirect_effectrandom_upper_triresult_processsigma_objectivesummary_gibbstotal_effecttraceplotzero.centered.em
Dependencies:abindclicodacodetoolscolorspacedoParallelfansifarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagicmagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
An R Package for Mendelian Randomization in the mediation setting | FLOWMR-package FLOWMR |
BayesMediation | BayesMediation |
Perform Gibbs sampling for mediation MR without correlation | gibbs_sampler |
Perform Gibbs sampling for mediation MR with correlation | gibbs_sampler_with_corr |
Gibbs sampler | gibbs_wrapper |
Indirrect effedt | indirect_effect |
Produce a summary table of the output from gibbs_wrapper. | summary_gibbs |
Total effect | total_effect |
Produce traceplot for the specified parameter | traceplot |
Perform EM Algorithm on Pleiotropy | zero.centered.em |