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.
Version: 2.3-20 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 Published: 2025-02-28 DOI: 10.32614/CRAN.package.flexmix Author: Bettina Gruen [aut, cre], Friedrich Leisch [aut], Deepayan Sarkar [ctb], Frederic Mortier [ctb], Nicolas Picard [ctb] Maintainer: Bettina Gruen <Bettina.Gruen at R-project.org> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no Citation: flexmix citation info Materials: NEWS In views: Cluster, Environmetrics, Psychometrics CRAN checks: flexmix resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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