Package: GCPBayes 4.3.0

Yazdan Asgari

GCPBayes: Bayesian Meta-Analysis of Pleiotropic Effects Using Group Structure

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>.

Authors:Yazdan Asgari [aut, cre], Taban Baghfalaki [aut], Benoit Liquet [aut], Pierre-Emmanuel Sugier [aut], Mohammed Sedki [aut], Therese Truong [aut]

GCPBayes_4.3.0.tar.gz
GCPBayes_4.3.0.tar.gz(r-4.7-arm64)GCPBayes_4.3.0.tar.gz(r-4.7-x86_64)GCPBayes_4.3.0.tar.gz(r-4.6-arm64)GCPBayes_4.3.0.tar.gz(r-4.6-x86_64)
GCPBayes_4.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GCPBayes/json (API)
NEWS

# Install 'GCPBayes' in R:
install.packages('GCPBayes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tbaghfalaki/gcpbayes/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

openblascpp

1.18 score 15 scripts 205 downloads 7 exports 27 dependencies

Last updated from:0c6b879b42. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK143
linux-devel-x86_64OK127
source / vignettesOK168
linux-release-arm64OK129
linux-release-x86_64OK131
wasm-releaseOK105

Exports:CSDSHSMCMCplotsummaryCSsummaryDSsummaryHS

Dependencies:abindbackportscheckmateclidistributionalgdatagenericsgluegtoolsinvgammalifecyclemagrittrMASSmatrixStatsmvtnormnumDerivpillarpkgconfigposteriorRcppRcppArmadillorlangtensorAtibbletruncnormutf8vctrs