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: 2026-08-15 17:13:34 UTC; july
Author: Aqi Dong [aut, cre],
  Yang-Li Liao [aut],
  Danhyang Lee [aut]
Maintainer: Aqi Dong <donga2@erau.edu>
Repository: CRAN
Date/Publication: 2026-08-20 14:30:02 UTC
Built: R 4.5.2; ; 2026-08-20 14:52:29 UTC; unix
