gmfd: Inference and Clustering of Functional Data

Some methods for the inference and clustering of univariate and multivariate functional data, using a generalization of Mahalanobis distance, along with some functions useful for the analysis of functional data. For further details, see Martino A., Ghiglietti, A., Ieva, F. and Paganoni A. M. (2017) <arXiv:1708.00386>.

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Package details

AuthorAndrea Martino [aut, cre], Andrea Ghiglietti [aut], Francesca Ieva [aut], Anna Maria Paganoni [aut]
MaintainerAndrea Martino <>
Package repositoryView on CRAN
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gmfd documentation built on May 2, 2019, 10:57 a.m.