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
Repository: https://lizhongc.r-universe.dev
Date/Publication: 2026-06-29 21:46:49 UTC
RemoteUrl: https://github.com/lizhongc/ibgs
RemoteRef: HEAD
RemoteSha: 993490608ce6e1c299cbfe81a685c24f6d5e198e
Packaged: 2026-07-05 08:17:39 UTC; root
Author: Lizhong Chen [aut, cre]
Maintainer: Lizhong Chen <chen.l@wehi.edu.au>