This packages 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 <email@example.com>, <firstname.lastname@example.org>*.|
|Date of publication||2014-01-15 11:52:11|
|Maintainer||Vincent KUBICKI <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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