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 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

Documentation:

Reference manual:

sasfunclust.pdf

Downloads:

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

Linking:

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