Sparse and Smooth Functional Clustering

Implements the sparse and smooth functional clustering (SaS-Funclust) method (Centofanti et al. (2021) ) that aims to classify a sample of curves into homogeneous groups while jointly detecting the most informative portions of domain.


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Reference manual

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install.packages("sasfunclust")

1.0.0 by Fabio Centofanti, 6 months ago


https://github.com/unina-sfere/sasfunclust


Report a bug at https://github.com/unina-sfere/sasfunclust/issues


Browse source code at https://github.com/cran/sasfunclust


Authors: Fabio Centofanti [cre, aut] , Antonio Lepore [aut] , Biagio Palumbo [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, fda, mclust, matrixcalc, MASS, Matrix

Suggests knitr, rmarkdown, testthat

Linking to Rcpp, RcppArmadillo

System requirements: GNU make


See at CRAN