fchamroukhi/mixHMMR: Mixture of Hidden Markov Model Regression ('mixHMMR') for Simultaneous Curve Clustering and Segmentation
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'.
Getting started
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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 |
Install the latest version of this package by entering the following in R:
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