https://wujrtudou.r-universe.devRecent package updates in wujrtudouR-universehttps://github.com/wujrtudou.pnghttps://wujrtudou.r-universe.devWed, 30 Sep 2026 01:59:37 GMTjinran.wu@uq.edu.au (Jinran Wu)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.https://github.com/r-universe/wujrtudou/actions/runs/36852845248Wed, 30 Sep 2026 01:59:37 GMTSSLfmm0.2.2successhttps://wujrtudou.r-universe.devhttps://github.com/wujrtudou/sslfmmSSLfmm-workflow.RmdSSLfmm-workflow.htmlSSLfmm: A Practical Workflow2026-09-30 01:59:372026-09-30 01:59:37