sasfunclust: Sparse and Smooth Functional Clustering

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>
License: GPL-3
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:, r-release:, r-oldrel:
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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