Package: sasfunclust 1.0.0.9000

Fabio Centofanti

sasfunclust: Sparse and Smooth Functional Clustering

Implements the sparse and smooth functional clustering (SaS-Funclust) method (Centofanti et al. (2021) <arxiv:2103.15224>) that aims to classify a sample of curves into homogeneous groups while jointly detecting the most informative portions of domain.

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

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sasfunclust.pdf |sasfunclust.html✨
sasfunclust/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/unina-sfere/sasfunclust/issues

On CRAN:

3 exports 1 stars 0.73 score 50 dependencies 9 scripts 194 downloads

Last updated 3 years agofrom:1910044504. Checks:OK: 4 NOTE: 5. Indexed: yes.

Exports:sasfclustsasfclust_cvsimulate_data

Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmatrixcalcmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppArmadilloRCurlrlangscalestibbleutf8vctrsviridisLitewithr