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A scalable Bayesian method for bi-level variable selection

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bivas

bivas is an efficient statistical approach for bi-level variable selection.

Installation

To install the development version of bivas, it's easiest to use the 'devtools' package. Note that bivas depends on the 'Rcpp' package, which also requires appropriate setting of Rtools and Xcode for Windows and Mac OS/X, respectively.

#install.packages("devtools")
library(devtools)
install_github("mxcai/bivas")

Usage

The 'bivas' vignette provides a quick start for the usage of the package. The following help page also provides quick reference and examples:

library(bivas)
package?bivas

Reproducibility

All the simulation results can be reproduced by using the code at sim-bivas.

References

Mingxuan Cai, Mingwei Dai, Jingsi Ming, Heng Peng, Jin Liu and Can Yang. BIVAS: A scalable Bayesian method for bi-level variable selection. Under review. arXiv link: http://arxiv.org/abs/1803.10439.

Development

This R package is developed by Mingxuan Cai and Can Yang ([email protected])

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A scalable Bayesian method for bi-level variable selection

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  • C++ 62.0%
  • R 38.0%