bgmm swMATH ID: 19104 Software Authors: Przemyslaw Biecek; Ewa Szczurek Description: R package bgmm. bgmm: Gaussian Mixture Modeling Algorithms and the Belief-Based Mixture Modeling. Two partially supervised mixture modeling methods: soft-label and belief-based modeling are implemented. For completeness, we equipped the package also with the functionality of unsupervised, semi- and fully supervised mixture modeling. The package can be applied also to selection of the best-fitting from a set of models with different component numbers or constraints on their structures. For detailed introduction see: Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical Software <<a href=”http://dx.doi.org/10.18637/jss.v047.i03”>doi:10.18637/jss.v047.i03</a>>. Homepage: https://cran.r-project.org/web/packages/bgmm/index.html Source Code: https://github.com/cran/bgmm Dependencies: R Keywords: CRAN; R package; Gaussian Mixture Modeling; Belief-Based Mixture Modeling; mixture modeling; Uncertain Knowledge Related Software: mclust; R; Rmixmod; flexmix; mixtools; PGMM; TCLUST; mixture; ContaminatedMixt; CRAN Task Views; HDclassif; EMMIXskew; MixGHD; mixsmsn; Emmixuskew; teigen; CRAN; Spider; spa; phyclust Cited in: 1 Document Standard Articles 1 Publication describing the Software Year Cited by 3 Authors 1 Ferraro, Maria Brigida 1 Giordani, Paolo E. 1 Martella, Francesca Cited in 1 Serial 1 Behaviormetrics: Quantitative Approaches to Human Behavior Cited in 1 Field 1 Statistics (62-XX) Citations by Year