The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

BVSNLP: Bayesian Variable Selection in High Dimensional Settings using Nonlocal Priors

Variable/Feature selection in high or ultra-high dimensional settings has gained a lot of attention recently specially in cancer genomic studies. This package provides a Bayesian approach to tackle this problem, where it exploits mixture of point masses at zero and nonlocal priors to improve the performance of variable selection and coefficient estimation. product moment (pMOM) and product inverse moment (piMOM) nonlocal priors are implemented and can be used for the analyses. This package performs variable selection for binary response and survival time response datasets which are widely used in biostatistic and bioinformatics community. Benefiting from parallel computing ability, it reports necessary outcomes of Bayesian variable selection such as Highest Posterior Probability Model (HPPM), Median Probability Model (MPM) and posterior inclusion probability for each of the covariates in the model. The option to use Bayesian Model Averaging (BMA) is also part of this package that can be exploited for predictive power measurements in real datasets.

Version: 1.1.9
Depends: R (≥ 3.1.0)
Imports: Rcpp, doParallel, foreach, parallel
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical
Suggests: doMPI
Published: 2020-08-28
DOI: 10.32614/CRAN.package.BVSNLP
Author: Amir Nikooienejad [aut, cre], Valen E. Johnson [ths]
Maintainer: Amir Nikooienejad <amir.nikooienejad at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: BVSNLP results

Documentation:

Reference manual: BVSNLP.pdf

Downloads:

Package source: BVSNLP_1.1.9.tar.gz
Windows binaries: r-devel: BVSNLP_1.1.9.zip, r-release: BVSNLP_1.1.9.zip, r-oldrel: BVSNLP_1.1.9.zip
macOS binaries: r-release (arm64): BVSNLP_1.1.9.tgz, r-oldrel (arm64): BVSNLP_1.1.9.tgz, r-release (x86_64): BVSNLP_1.1.9.tgz, r-oldrel (x86_64): BVSNLP_1.1.9.tgz
Old sources: BVSNLP archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BVSNLP to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.