Simulated_summary

A list containing the summary statistics including regression coefficients and covariance matrices for K=5 studies.

datasets

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) <doi:10.1002/sim.8855>.

Yazdan Asgari

GCPBayes

Bayesian Meta-Analysis of Pleiotropic Effects Using Group
Structure

Taban Baghfalaki

Benoit Liquet

Pierre-Emmanuel Sugier

Mohammed Sedki

Therese Truong

Simulated_summary function

A list which contains the name of gene, the name of the SNPs, the vectors and the matrices for the summary statistics of each study.<dl>
 <dt>genename</dt>
<dd>The name of gene</dd> <dt>snpnames</dt>
<dd>The name of the SNPs</dd> <dt>simBeta</dt>
<dd>The regression coeffiecnts of the studies</dd> <dt>simSIGMA</dt>
<dd>The covariance matrices for the studies</dd>
</dl>

Format

Simulated summary statistics for K=5 traits — Simulated_summary

A list which contains the name of gene, the name of the SNPs, the vectors and the matrices for the summary statistics of each study.<dl>
 <dt>genename</dt>
<dd>The name of gene</dd>

 <dt>snpnames</dt>
<dd>The name of the SNPs</dd>

 <dt>simBeta</dt>
<dd>The regression coeffiecnts of the studies</dd>

 <dt>simSIGMA</dt>
<dd>The covariance matrices for the studies</dd>


</dl>

Simulated_summary: Simulated summary statistics for K=5 traits

Description

Usage

Arguments

Format

References

See Also