Package: sasfunclust 1.0.0
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:
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')) |
Bug tracker:https://github.com/unina-sfere/sasfunclust/issues
Last updated 4 years agofrom:8274014c86. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 22 2024 |
Exports:sasfclustsasfclust_cvsimulate_data
Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmatrixcalcmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppArmadilloRCurlrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Sparse and smooth functional data clustering | sasfunclust-package sasfunclust |
Plot the results of the Sas-funclust method | plot.sasfclust plot.sasfclust_cv |
Sparse and Smooth Functional Data Clustering | sasfclust |
Cross-validation for sasfclust | sasfclust_cv |
Simulate data for functional clustering | simulate_data |