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GCPBayes
View on CRAN: Click
here
Download and install GCPBayes package within the R console
Install from CRAN:
install.packages("GCPBayes")
Install from Github:
library("remotes")
install_github("cran/GCPBayes")
Install by package version:
library("remotes")
install_version("GCPBayes", "4.2.0")
Attach the package and use:
library("GCPBayes")
Maintained by
Yazdan Asgari
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-21
Latest Update: 2022-11-02
Description:
Run a Gibbs sampler for a multivariate Bayesian sparse group selection model with Dirac, continuous and hierarchical spike prior for detecting pleiotropy on the traits. This package is designed for summary statistics containing estimated regression coefficients and its estimated covariance matrix. The methodology is available from: Baghfalaki, T., Sugier, P. E., Truong, T., Pettitt, A. N., Mengersen, K., & Liquet, B. (2021) .
How to cite:
Yazdan Asgari (2021). GCPBayes: Bayesian Meta-Analysis of Pleiotropic Effects Using Group Structure. R package version 4.2.0, https://cran.r-project.org/web/packages/GCPBayes. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that GCPBayes depends,
imports, suggests or enhances
Complete documentation for GCPBayes
Functions, R codes and Examples using
the GCPBayes R package
Some associated functions: CS . DNAJC1 . DS . GCPBayes . HS . MCMCplot . PARP2 . PARP2_summary . Simulated_individual . Simulated_individual_survival . Simulated_summary . e2_Monte_Carlo_EM . summaryCS . summaryDS . summaryHS .
Some associated R codes: CS.R . DNAJC1.R . DS.R . GCPBayes.R . HS.R . MCMCplot.R . PARP2.R . PARP2_summary.R . Simulated_individual.R . Simulated_individual_survival.R . Simulated_summary.R . summaryCS.R . summaryDS.R . summaryHS.R . Full GCPBayes package functions and examples
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