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.zip(r-4.7-x86_64)GCPBayes_4.3.0.zip(r-4.7-arm64)GCPBayes_4.3.0.zip(r-4.6-x86_64)GCPBayes_4.3.0.zip(r-4.6-arm64)
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✨
DESCRIPTION |NEWS
card.svg |card.png
GCPBayes/json (API)

# 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

1.23 score 17 scripts 399 downloads 7 exports 27 dependencies

Last updated from:0c6b879b42. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK125
linux-devel-x86_64OK148
source / vignettesOK149
linux-release-arm64OK119
linux-release-x86_64OK157
windows-devel-arm64OK204
windows-devel-x86_64OK153
windows-release-arm64OK224
windows-release-x86_64OK115
wasm-releaseOK104

Exports:CSDSHSMCMCplotsummaryCSsummaryDSsummaryHS

Dependencies:abindbackportscheckmateclidistributionalgdatagenericsgluegtoolsinvgammalifecyclemagrittrMASSmatrixStatsmvtnormnumDerivpillarpkgconfigposteriorRcppRcppArmadillorlangtensorAtibbletruncnormutf8vctrs