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Mixture model is used to achieve the clustering goal. Each component is itself a mixture model of polynomial autoregressive regressions whose the logistic weights consider the spatial and temporal information.
Package details |
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Author | Cheam A., Marbac M., and McNicholas P. |
Maintainer | Matthieu Marbac <matthieu.marbac@gmail.com> |
License | GPL (>= 2) |
Version | 1.0 |
Package repository | View on R-Forge |
Installation |
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