Package: funLBM 2.3

Charles Bouveyron

funLBM: Model-Based Co-Clustering of Functional Data

The funLBM algorithm allows to simultaneously cluster the rows and the columns of a data matrix where each entry of the matrix is a function or a time series.

Authors:Charles Bouveyron, Julien Jacques and Amandine Schmutz

funLBM_2.3.tar.gz
funLBM_2.3.tar.gz(r-4.5-noble)funLBM_2.3.tar.gz(r-4.4-noble)
funLBM_2.3.tgz(r-4.4-emscripten)funLBM_2.3.tgz(r-4.3-emscripten)
funLBM.pdf |funLBM.html
funLBM/json (API)

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

Peer review:

Datasets:
  • Velib - The Velib data set.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 scripts 197 downloads 1 mentions 6 exports 52 dependencies

Last updated 3 years agofrom:8d39f216a5. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 14 2024
R-4.5-linuxNOTEDec 14 2024

Exports:arifunLBMplot.funLBMprint.funLBMsimulateDatasimulateData2

Dependencies:abindashbitopscliclustercolorspacedeSolveelasticnetfansifarverfdafdsFNNfunFEMggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglarslatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr