Package: CPBayes 1.1.0
CPBayes: Bayesian Meta Analysis for Studying Cross-Phenotype Genetic Associations
A Bayesian meta-analysis method for studying cross-phenotype genetic associations. It uses summary-level data across multiple phenotypes to simultaneously measure the evidence of aggregate-level pleiotropic association and estimate an optimal subset of traits associated with the risk locus. CPBayes is based on a spike and slab prior. The methodology is available from: A Majumdar, T Haldar, S Bhattacharya, JS Witte (2018) <doi:10.1371/journal.pgen.1007139>.
Authors:
CPBayes_1.1.0.tar.gz
CPBayes_1.1.0.zip(r-4.5)CPBayes_1.1.0.zip(r-4.4)CPBayes_1.1.0.zip(r-4.3)
CPBayes_1.1.0.tgz(r-4.4-any)CPBayes_1.1.0.tgz(r-4.3-any)
CPBayes_1.1.0.tar.gz(r-4.5-noble)CPBayes_1.1.0.tar.gz(r-4.4-noble)
CPBayes_1.1.0.tgz(r-4.4-emscripten)CPBayes_1.1.0.tgz(r-4.3-emscripten)
CPBayes.pdf |CPBayes.html✨
CPBayes/json (API)
NEWS
| # Install 'CPBayes' in R: |
| install.packages('CPBayes', repos = c('https://arunabhacodes.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/arunabhacodes/cpbayes/issues
- ExampleDataCor - An example data for correlated summary statistics.
- ExampleDataUncor - An example data for uncorrelated summary statistics.
- SampleOverlapMatrix - An example data of sample-overlap matrices.
Last updated 4 years agofrom:4df15cb9d3. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win | OK | Nov 03 2024 |
| R-4.5-linux | OK | Nov 03 2024 |
| R-4.4-win | OK | Nov 03 2024 |
| R-4.4-mac | OK | Nov 03 2024 |
| R-4.3-win | OK | Nov 03 2024 |
| R-4.3-mac | OK | Nov 03 2024 |
Exports:analytic_locFDR_BF_coranalytic_locFDR_BF_uncorcpbayes_corcpbayes_uncorestimate_corlnforest_cpbayespost_summaries
Dependencies:abindbackportscheckmatecliforestplotgluelifecyclemagrittrMASSmvtnormpurrrrlangvctrs
