Interface to 'Python' Package 'StepMix' R package stepmixr version 0.1.3 CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster) This is an interface for the 'Python' package 'StepMix'. It is a 'Python' package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. 'StepMix' handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods based on pseudolikelihood theory. Additional features include support for covariates and distal outcomes, various simulation utilities, and non-parametric bootstrapping, which allows inference in semi-supervised and unsupervised settings. Software paper available at <doi:10.18637/jss.v113.i08>. Software Depends: R (>= 4.0.0) Imports: reticulate (>= 1.8) Charles-Édouard Giguère <ce.giguere@gmail.com> Comprehensive R Archive Network (CRAN) Éric Lacourse [aut], Roxane de la Sablonnière [aut], Charles-Édouard Giguère [aut, cre], Sacha Morin [aut], Robin Legault [aut], Félix Laliberté [aut], Zsusza Bakk [ctb] GPL-2 2025-07-04 application/tgz https://CRAN.R-project.org/package=stepmixr doi:10.32614/CRAN.package.stepmixr