ArunabhaCodes/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>.
Getting started
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Package details |
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| Author | Arunabha Majumdar <statgen.arunabha@gmail.com> [aut, cre], Tanushree Haldar <tanushree.haldar@gmail.com> [aut], John Witte [ctb] |
| Maintainer | Arunabha Majumdar <statgen.arunabha@gmail.com> |
| License | GPL-3 |
| Version | 1.1.0 |
| URL | https://github.com/ArunabhaCodes/CPBayes |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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