Flexible Mixture Modeling R package flexmix version 2.3-20 CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster) CRAN Task View: Environmetrics (https://CRAN.R-project.org/view=Environmetrics) CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics) A general framework for finite mixtures of regression models using the EM algorithm is implemented. The E-step and all data handling are provided, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based clustering. Software Depends: R (>= 2.15.0), lattice Imports: graphics, grid, grDevices, methods, modeltools (>= 0.2-16), nnet, stats, stats4, utils Suggests: actuar, codetools, diptest, Ecdat, ellipse, gclus, glmnet, lme4 (>= 1.1), MASS, mgcv (>= 1.8-0), mlbench, multcomp, mvtnorm, SuppDists, survival Bettina Gruen <Bettina.Gruen@R-project.org> Comprehensive R Archive Network (CRAN) Bettina Gruen [aut, cre] (ORCID: <https://orcid.org/0000-0001-7265-4773>), Friedrich Leisch [aut] (ORCID: <https://orcid.org/0000-0001-7278-1983>), Deepayan Sarkar [ctb] (ORCID: <https://orcid.org/0000-0003-4107-1553>), Frederic Mortier [ctb], Nicolas Picard [ctb] (ORCID: <https://orcid.org/0000-0001-5548-9171>) GPL (>= 2) 2025-02-28 application/tgz https://CRAN.R-project.org/package=flexmix doi:10.32614/CRAN.package.flexmix