Package: ICSClust 0.1.0

Aurore Archimbaud

ICSClust: Tandem Clustering with Invariant Coordinate Selection

Implementation of tandem clustering with invariant coordinate selection with different scatter matrices and several choices for the selection of components as described in Alfons, A., Archimbaud, A., Nordhausen, K.and Ruiz-Gazen, A. (2022) <arxiv:2212.06108>.

Authors:Aurore Archimbaud [aut, cre], Andreas Alfons [aut], Klaus Nordhausen [aut], Anne Ruiz-Gazen [aut]

ICSClust_0.1.0.tar.gz
ICSClust_0.1.0.tar.gz(r-4.5-noble)ICSClust_0.1.0.tar.gz(r-4.4-noble)
ICSClust_0.1.0.tgz(r-4.4-emscripten)ICSClust_0.1.0.tgz(r-4.3-emscripten)
ICSClust.pdf |ICSClust.html✨
ICSClust/json (API)

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

Peer review:

Bug tracker:https://github.com/auroreaa/icsclust/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

openblascpp

1.70 score 11 scripts 660 downloads 25 exports 121 dependencies

Last updated 1 years agofrom:32feea398b. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 14 2024
R-4.5-linux-x86_64NOTEDec 14 2024

Exports:component_plotdiscriminatory_critICS_lcovICS_mcd_rawICS_mcd_rwtICS_mlcICS_scovICS_tcovICS_ucovICSClustkmeans_clustmclust_clustmed_critmixture_simnormal_critpam_clustrimle_clustrmclust_clustrunif_outside_rangescovselect_plottcovtkmeans_clustucovvar_crit

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclasscliclustercodetoolscolorspacecowplotcpp11crayonDBIDEoptimRDerivdigestdiptestdoBydoParalleldplyrellipsisevaluatefansifarverfastmapflexmixfontawesomeforcatsforeachFormulafpcfsgenericsGGallyggplot2ggstatsgluegtableheplotshighrhmshtmltoolshtmlwidgetsICSisobanditeratorsjquerylibjsonlitekernlabknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmclustmemoisemgcvmicrobenchmarkmimeminqamitoolsmodelrmodeltoolsmomentsmunsellmvtnormnlmenloptrnnetnumDerivotrimlepatchworkpbkrtestpcaPPpillarpkgconfigplyrprabclusprettyunitsprogresspurrrquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppRollrglrlangrmarkdownrobustbaserrcovsassscalesSparseMstringistringrsurveysurvivaltclusttibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Tandem Clustering with Invariant Coordinate SelectionICSClust-package
Scatterplot Matrix with densities on the diagonalcomponent_plot
Selection of ICS components based on discriminatory powerdiscriminatory_crit discriminatory_crit.default discriminatory_crit.ICS
Local Shape Scatter Estimates for ICSICS_lcov
MCD location and Scatter Estimates for ICSICS_mcd ICS_mcd_raw ICS_mcd_rwt
Cauchy location and Scatter Estimates for ICSICS_mlc
Pairwise one-step M-estimate of scatter for ICSICS_tcov
Simple robust estimates of scatter for ICSICS_scov ICS_ucov
Tandem clustering with ICSICSClust
_k_-means clusteringkmeans_clust
Model-Based Clusteringmclust_clust rmclust_clust
Selection of Invariant components using the med criterionmed_crit med_crit.default med_crit.ICS
Simulation of a mixture of Gaussian distributionsmixture_sim
Selection of Non-normal Invariant Components Using Marginal Normality Testsnormal_crit normal_crit.default normal_crit.ICS
Partitioning Around Medoids clusteringpam_clust
Scatterplot Matrix with densities on the diagonalplot.ICSClust
Print of an 'ICSClust_summary' objectprint.ICSClust_summary
Robust Improper Maximum Likelihood Clusteringrimle_clust
Uniform distribution outside a given rangerunif_outside_range
Plot of the Generalized Kurtosis Values of the ICS Transformationselect_plot select_plot.data.frame select_plot.default select_plot.ICS_crit
Summary of an 'ICSClust' objectsummary.ICSClust
Pairwise one-step M-estimate of scattertcov
Trimmed k-means clusteringtkmeans_clust
Simple robust estimates of scatterscov ucov
Selection of Invariant components using the var criterionvar_crit var_crit.default var_crit.ICS