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) <doi:10.48550/arXiv.1708.00386>.

Version: 1.0.1
Depends: R (≥ 3.3.0)
Imports: graphics, stats
Suggests: knitr, rmarkdown
Published: 2018-04-06
DOI: 10.32614/CRAN.package.gmfd
Author: Andrea Martino [aut, cre], Andrea Ghiglietti [aut], Francesca Ieva [aut], Anna Maria Paganoni [aut]
Maintainer: Andrea Martino <andrea.martino at>
License: GPL-3
NeedsCompilation: no
CRAN checks: gmfd results


Reference manual: gmfd.pdf
Vignettes: gmfd


Package source: gmfd_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gmfd_1.0.1.tgz, r-oldrel (arm64): gmfd_1.0.1.tgz, r-release (x86_64): gmfd_1.0.1.tgz, r-oldrel (x86_64): gmfd_1.0.1.tgz
Old sources: gmfd archive


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