This package proposes a model-based clustering algorithm for multivariate functional data. The parametric mixture model, based on the assumption of normality of the principal components resulting from a multivariate functional PCA, is estimated by an EM-like algorithm. The main advantage of the proposed algorithm is its ability to take into account the dependence among curves.
|Author||Mohamed Soueidatt [aut], Cristian Preda [aut, cre], Julien Jacques [aut], Vincent Kubicki [ctb]|
|Maintainer||Cristian Preda <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
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