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.
|Author||Cheam A., Marbac M., and McNicholas P.|
|Maintainer||Matthieu Marbac <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
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