Package: SSLfmm
Type: Package
Title: Semi-Supervised Learning with Mixed Missingness in Finite
        Mixture Models
Version: 0.2.2
Author: Geoffrey J. McLachlan [aut] (ORCID:
        <https://orcid.org/0000-0002-5921-3145>), Jinran Wu [aut, cre]
        (ORCID: <https://orcid.org/0000-0002-2388-3614>)
Maintainer: Jinran Wu <jinran.wu@uq.edu.au>
Depends: R (>= 3.6.0)
Authors@R: c(
    person("Geoffrey J.", "McLachlan", role = "aut",
           email = "g.mclachlan@uq.edu.au",
           comment = c(ORCID = "0000-0002-5921-3145")),
    person("Jinran", "Wu", role = c("aut", "cre"),
           email = "jinran.wu@uq.edu.au",
           comment = c(ORCID = "0000-0002-2388-3614"))
    )
Description: Semi-supervised Gaussian finite mixture models for
        partially labelled data under complete-case, missing completely
        at random (MCAR), entropy-dependent missing at random (MAR),
        and mixed MCAR/MAR label-missingness formulations. For the
        mixed formulation, the source of a missing label may be
        observed or latent. The package supports equal and
        component-specific covariance matrices, model fitting,
        simulation, initialization, prediction, classification
        performance assessment, and entropy-based diagnostics. A
        semi-synthetic Blood Transfusion data set is included to
        illustrate the applied workflow.
License: GPL-3
URL: https://github.com/wujrtudou/SSLfmm
BugReports: https://github.com/wujrtudou/SSLfmm/issues
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Imports: graphics, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-09-30 19:47:17 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-30 16:00:10 UTC
RemoteUrl: https://github.com/cran/SSLfmm
RemoteRef: HEAD
RemoteSha: 24c2e6e14c698b39067a269da5354b617e5ce719