Package: sasfunclust 1.0.0

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]

sasfunclust_1.0.0.tar.gz
sasfunclust_1.0.0.tar.gz(r-4.5-noble)sasfunclust_1.0.0.tar.gz(r-4.4-noble)
sasfunclust_1.0.0.tgz(r-4.4-emscripten)sasfunclust_1.0.0.tgz(r-4.3-emscripten)
sasfunclust.pdf |sasfunclust.html
sasfunclust/json (API)

# Install 'sasfunclust' in R:
install.packages('sasfunclust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

1.70 score 1 stars 9 scripts 178 downloads 3 exports 50 dependencies

Last updated 4 years agofrom:8274014c86. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-linux-x86_64NOTENov 22 2024

Exports:sasfclustsasfclust_cvsimulate_data

Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmatrixcalcmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppArmadilloRCurlrlangscalestibbleutf8vctrsviridisLitewithr