Package: funLBM 2.3.1

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 [aut], Julien Jacques [aut, cre], Amandine Schmutz [aut]

funLBM_2.3.1.tar.gz
funLBM_2.3.1.zip(r-4.7-any)funLBM_2.3.1.zip(r-4.6-any)funLBM_2.3.1.zip(r-4.5-any)
funLBM_2.3.1.tgz(r-4.6-any)funLBM_2.3.1.tgz(r-4.5-any)
funLBM_2.3.1.tar.gz(r-4.7-any)funLBM_2.3.1.tar.gz(r-4.6-any)
funLBM_2.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
funLBM/json (API)

# Install 'funLBM' in R:
install.packages('funLBM', repos = c('https://jujacques.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Velib - The Velib data set.

On CRAN:

Conda:

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

1.00 score 341 downloads 1 mentions 6 exports 47 dependencies

Last updated from:18c63a1c70. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK159
source / vignettesOK257
linux-releaseOK157
macos-releaseOK152
macos-oldrelOK250
windows-develOK97
windows-releaseOK101
windows-oldrelOK92
wasm-releaseOK117

Exports:arifunLBMplot.funLBMprint.funLBMsimulateDatasimulateData2

Dependencies:abindashbitopscliclustercolorspacecpp11deSolveelasticnetfarverfdafdsFNNfunFEMggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglarslatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaR6rainbowRColorBrewerRcppRCurlrlangS7scalesvctrsviridisLitewithr