Simultaneous model-based clustering and segmentation of heterogeneous and dynamical functional data (curves/times series) with changes in regime by a mixture of gaussian regression models with hidden Markov processes, fitted by the EM/Baum-Welch algorithm. See also the packages 'mixRHLP', 'mixHMM', and 'HMMR'.
Package details |
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Maintainer | |
License | GPL (>= 3) |
Version | 0.1.0 |
URL | https://github.com/fchamroukhi/mixHMMR |
Package repository | View on GitHub |
Installation |
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