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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 |
| 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 |
| CRAN checks: | sasfunclust results |
| Reference manual: | sasfunclust.pdf |
| Package source: | sasfunclust_1.0.0.tar.gz |
| Windows binaries: | r-devel: sasfunclust_1.0.0.zip, r-release: sasfunclust_1.0.0.zip, r-oldrel: sasfunclust_1.0.0.zip |
| macOS binaries: | r-release (arm64): sasfunclust_1.0.0.tgz, r-oldrel (arm64): sasfunclust_1.0.0.tgz, r-release (x86_64): sasfunclust_1.0.0.tgz, r-oldrel (x86_64): sasfunclust_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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