sasfunclust: Sparse and Smooth Functional Clustering (original) (raw)
Implements the sparse and smooth functional clustering (SaS-Funclust) method (Centofanti et al. (2021) <doi:10.48550/arXiv.2103.15224>) that aims to classify a sample of curves into homogeneous groups while jointly detecting the most informative portions of domain.
| Version: | 1.0.0 |
|---|---|
| Imports: | Rcpp, fda, mclust, matrixcalc, MASS, Matrix |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2021-04-02 |
| DOI: | 10.32614/CRAN.package.sasfunclust |
| Author: | Fabio Centofanti [cre, aut], Antonio Lepore [aut], Biagio Palumbo [aut] |
| Maintainer: | Fabio Centofanti <fabio.centofanti at unina.it> |
| BugReports: | https://github.com/unina-sfere/sasfunclust/issues |
| License: | GPL-3 |
| URL: | https://github.com/unina-sfere/sasfunclust |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README |
| In views: | FunctionalData |
| CRAN checks: | sasfunclust results |
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