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.
- Version1.1.0
- R version≥ 3.2.0
- LicenseGPL-3
- Needs compilation?No
- A Majumdar, T Haldar, S Bhattacharya, JS Witte (2018)
- Last release12/02/2020
Documentation
Team
Arunabha Majumdar
Tanushree Haldar
Show author detailsRolesAuthorJohn Witte
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 228 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 3,192 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 40 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports4 packages
- Suggests3 packages