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CPBayes
View on CRAN: Click
here
Download and install CPBayes package within the R console
Install from CRAN:
install.packages("CPBayes")
Install from Github:
library("remotes")
install_github("cran/CPBayes")
Install by package version:
library("remotes")
install_version("CPBayes", "1.1.0")
Attach the package and use:
library("CPBayes")
Maintained by
Arunabha Majumdar
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-23
Latest Update: 2020-12-02
Description:
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) .
How to cite:
Arunabha Majumdar (2017). CPBayes: Bayesian Meta Analysis for Studying Cross-Phenotype Genetic Associations. R package version 1.1.0, https://cran.r-project.org/web/packages/CPBayes. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that CPBayes depends,
imports, suggests or enhances
Complete documentation for CPBayes
Functions, R codes and Examples using
the CPBayes R package
Some associated functions: CPBayes . ExampleDataCor . ExampleDataUncor . SampleOverlapMatrix . analytic_locFDR_BF_cor . analytic_locFDR_BF_uncor . cpbayes_cor . cpbayes_uncor . estimate_corln . forest_cpbayes . post_summaries .
Some associated R codes: CPBayes.R . FuncUserCor.R . FuncUserUncor.R . MCMC_beta_update_functions.R . common_MCMC_functions.R . cor_CPBayes_functions.R . corln_estimation.R . data.R . help.R . locFDR_BF_theoretic.R . summary_functions.R . uncor_CPBayes_functions.R . Full CPBayes package functions and examples
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