Package: SSLfmm Type: Package Title: Semi-Supervised Learning with Mixed Missingness in Finite Mixture Models Version: 0.2.2 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 Repository: https://wujrtudou.r-universe.dev Date/Publication: 2026-09-30 01:59:37 UTC RemoteUrl: https://github.com/wujrtudou/sslfmm RemoteRef: HEAD RemoteSha: 8fd2ce0804e2700e400fa4878b62aabe5d9c8f87 Packaged: 2026-10-01 11:06:12 UTC; root Author: Geoffrey J. McLachlan [aut] (ORCID: ), Jinran Wu [aut, cre] (ORCID: ) Maintainer: Jinran Wu