Package: ICSClust 0.1.1

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. (2024) <doi:10.1016/j.ecosta.2024.03.002>.

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

ICSClust_0.1.1.tar.gz
ICSClust_0.1.1.zip(r-4.7-x86_64)ICSClust_0.1.1.zip(r-4.7-arm64)ICSClust_0.1.1.zip(r-4.6-x86_64)ICSClust_0.1.1.zip(r-4.6-arm64)ICSClust_0.1.1.zip(r-4.5-x86_64)
ICSClust_0.1.1.tgz(r-4.6-x86_64)ICSClust_0.1.1.tgz(r-4.6-arm64)ICSClust_0.1.1.tgz(r-4.5-x86_64)ICSClust_0.1.1.tgz(r-4.5-arm64)
ICSClust_0.1.1.tar.gz(r-4.7-arm64)ICSClust_0.1.1.tar.gz(r-4.7-x86_64)ICSClust_0.1.1.tar.gz(r-4.6-arm64)ICSClust_0.1.1.tar.gz(r-4.6-x86_64)
ICSClust_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ICSClust/json (API)

# Install 'ICSClust' in R:

install.packages('ICSClust', repos = c('https://auroreaa.r-universe.dev', 'https://cloud.r-project.org'))

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

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

openblas cpp

3.65 score 1 stars 23 scripts 2.0k downloads 25 exports 126 dependencies

Last updated from:08ab80bba3. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	192
linux-devel-x86_64	OK	239
source / vignettes	OK	258
linux-release-arm64	OK	185
linux-release-x86_64	OK	245
macos-release-arm64	OK	151
macos-release-x86_64	OK	536
macos-oldrel-arm64	OK	292
macos-oldrel-x86_64	OK	595
windows-devel-arm64	OK	427
windows-devel-x86_64	OK	163
windows-release-arm64	OK	434
windows-release-x86_64	OK	195
windows-oldrel-x86_64	OK	173
wasm-release	OK	173

Exports:component_plot discriminatory_crit ICS_lcov ICS_mcd_raw ICS_mcd_rwt ICS_mlc ICS_scov ICS_tcov ICS_ucov ICSClust kmeans_clust mclust_clust med_crit mixture_sim normal_crit pam_clust rimle_clust rmclust_clust runif_outside_range scov select_plot tcov tkmeans_clust ucov var_crit

Dependencies:abind backports base64enc boot broom bslib cachem car carData class cli cluster codetools colorspace cowplot cpp11 crayon DBI DEoptimR Deriv digest diptest doBy doParallel dplyr evaluate farver fastmap flexmix fontawesome forcats foreach forecast Formula fpc fracdiff fs generics GGally ggplot2 ggstats glue gtable heplots highr hms htmltools htmlwidgets ICS isoband iterators jquerylib jsonlite kernlab knitr labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mclust memoise mgcv mime minqa mitools modelr modeltools moments mvtnorm nlme nloptr nnet numDeriv otrimle patchwork pbkrtest pcaPP pillar pkgconfig prabclus prettyunits progress purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppRoll Rdpack reformulas rgl rlang rmarkdown robustbase rrcov S7 sass scales SparseM stringi stringr survey survival tclust tibble tidyr tidyselect timeDate tinytex urca utf8 vctrs viridisLite withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Tandem Clustering with Invariant Coordinate Selection	ICSClust-package
Scatterplot Matrix with densities on the diagonal	component_plot
Selection of ICS components based on discriminatory power	discriminatory_crit discriminatory_crit.default discriminatory_crit.ICS
Local Shape Scatter Estimates for ICS	ICS_lcov
MCD location and Scatter Estimates for ICS	ICS_mcd ICS_mcd_raw ICS_mcd_rwt
Cauchy location and Scatter Estimates for ICS	ICS_mlc
Pairwise one-step M-estimate of scatter for ICS	ICS_tcov
Simple robust estimates of scatter for ICS	ICS_scov ICS_ucov
Tandem clustering with ICS	ICSClust
_k_-means clustering	kmeans_clust
Model-Based Clustering	mclust_clust rmclust_clust
Selection of Invariant components using the med criterion	med_crit med_crit.default med_crit.ICS
Simulation of a mixture of Gaussian distributions	mixture_sim
Selection of Non-normal Invariant Components Using Marginal Normality Tests	normal_crit normal_crit.default normal_crit.ICS
Partitioning Around Medoids clustering	pam_clust
Scatterplot Matrix with densities on the diagonal	plot.ICSClust
Print of an 'ICSClust_summary' object	print.ICSClust_summary
Robust Improper Maximum Likelihood Clustering	rimle_clust
Uniform distribution outside a given range	runif_outside_range
Plot of the Generalized Kurtosis Values of the ICS Transformation	select_plot select_plot.data.frame select_plot.default select_plot.ICS_crit
Summary of an 'ICSClust' object	summary.ICSClust
Pairwise one-step M-estimate of scatter	tcov
Trimmed k-means clustering	tkmeans_clust
Simple robust estimates of scatter	scov ucov
Selection of Invariant components using the var criterion	var_crit var_crit.default var_crit.ICS