Package: scmix
Type: Package
Title: Bayesian Model-Based Clustering with Sparse Conditional Mixture
        Models
Version: 0.1.1
Authors@R: c(
    person("Aqi", "Dong", email = "donga2@erau.edu",
           role = c("aut", "cre")),
    person("Yang-Li", "Liao", email = "yanglliao@fcu.edu.tw",
           role = "aut"),
    person("Danhyang", "Lee", email = "danhyang@smu.edu", role = "aut"))
Description: Fits Bayesian sparse conditional (Gaussian) mixture models
        for model-based clustering. Each mixture component factorizes
        into a chain of univariate polynomial regressions with
        per-component, per-equation Bayesian variable selection under a
        centered Zellner g-prior; the number of clusters is selected
        within a single run via an overfitted sparse mixture (Dirichlet
        concentration 1/K). The blocked Gibbs sampler draws the
        selection sets exactly by enumeration (or by validated
        single-flip Metropolis-Hastings in higher dimension), is
        provably well-posed under a documented proper fallback prior,
        and reports a label-invariant consensus partition (Dahl's
        least-squares criterion). Companion package to Dong, Liao, and
        Lee (2026), "Replacing three nested searches with one sweep: a
        Bayesian treatment of sparse conditional mixture clustering".
        Multiple-imputation functionality for the same engine is also
        exposed.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: graphics, stats
Suggests: knitr, mclust, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-10-19 09:19:57 UTC; root
Author: Aqi Dong [aut, cre], Yang-Li Liao [aut], Danhyang Lee [aut]
Maintainer: Aqi Dong <donga2@erau.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-08-20 14:30:02 UTC
RemoteUrl: https://github.com/cran/scmix
RemoteRef: HEAD
RemoteSha: 858fafb7ff6062c0d1bd7f313078828f54a2996c