BSGS: Bayesian sparse group selection

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

An R package BSGS is provided for the integration of Bayesian variable and sparse group selection separately proposed by Chen et al. (2011) and Chen et al. (in press) for variable selection problems, even in the cases of large p and small n. This package is designed for variable selection problems including the identification of the important groups of variables and the active variables within the important groups. This article introduces the functions in the BSGS package that can be used to perform sparse group selection as well as variable selection through simulation studies and real data.

Original languageEnglish
Pages (from-to)122-133
Number of pages12
JournalR Journal
Volume7
Issue number2
Publication statusPublished - 2015 Jan 1

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Numerical Analysis
  • Statistics, Probability and Uncertainty

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