Package: IBGS
Type: Package
Title: Iterated Block Gibbs Sampler for Ultrahigh-Dimensional Variable
        Selection and Model Averaging
Version: 1.0.0
Authors@R: 
    person("Lizhong", "Chen", , "chen.l@wehi.edu.au",
           role = c("aut", "cre"))
Description: Variable selection for generalized linear models and the Cox
    proportional-hazards model in ultrahigh dimensions via the iterated block
    Gibbs sampler (IBGS). The sampler is implemented in C with parallel block
    screening through 'OpenMP', and supports the gaussian, binomial and poisson
    families (fitted by least squares or iteratively reweighted least squares)
    as well as the Cox model for survival analysis (fitted by its Efron partial
    likelihood), together with the AIC, BIC, AICc and extended BIC model
    selection criteria.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: graphics, stats
NeedsCompilation: yes
Packaged: 2026-06-29 10:07:42 UTC; lizhongc
Author: Lizhong Chen [aut, cre]
Maintainer: Lizhong Chen <chen.l@wehi.edu.au>
Repository: CRAN
Date/Publication: 2026-07-04 08:30:06 UTC
