Package: CompositionalClust 1.3

Michail Tsagris

CompositionalClust: Clustering with Compositional Data

Cluster analysis with compositional data using the alpha--transformation. Relevant papers include: Tsagris M. and Kontemeniotis N. (2025). Lobachevskii Journal of Mathematics <doi:10.1134/S1995080225613700>. Tsagris M.T., Preston S. and Wood A.T.A. (2011), <doi:10.48550/arXiv.1106.1451>. Garcia-Escudero Luis A., Gordaliza Alfonso, Matran Carlos, Mayo-Iscar Agustin. (2008), <doi:10.1214/07-AOS515>.

Authors:Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut]

CompositionalClust_1.3.tar.gz
CompositionalClust_1.3.tar.gz(r-4.7-any)CompositionalClust_1.3.tar.gz(r-4.6-any)
CompositionalClust_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CompositionalClust/json (API)

# Install 'CompositionalClust' in R:

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

On CRAN:

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

1.60 score 144 downloads 9 exports 155 dependencies

Last updated from:d3c6eb855d. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	210
source / vignettes	OK	245
linux-release-x86_64	OK	176
wasm-release	OK	209

Exports:alfa alfa.cikmeans alfa.kmeans alfa.mix.norm bic.alfamixnorm cikmeans clust.plot index_max index_min

Dependencies:abind backports base64enc BH bigassertr bigparallelr bigstatsr bit boot broom bslib cachem car carData class cli cluster codetools colorspace Compositional corrplot cowplot cpp11 crosstalk dendextend Deriv digest doBy doParallel dplyr DT ellipse emmeans emplik estimability evaluate factoextra FactoMineR farver fastmap ff flashClust flock fontawesome foreach forecast Formula fracdiff fs generics ggplot2 ggpubr ggrepel ggsci ggsignif glmnet glue gridExtra gtable highr htmltools htmlwidgets isoband iterators jquerylib jsonlite knitr labeling later lattice lazyeval leaps lifecycle lme4 lmtest lowmemtkmeans magrittr MASS Matrix MatrixModels mda memoise mgcv microbenchmark mime minpack.lm minqa mixture mnormt modelr multcompView mvtnorm nlme nloptr nnet numDeriv osqp otel parallelly pbkrtest pillar pkgconfig polynom promises ps purrr quadprog quantreg R6 rangen rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppGSL RcppParallel Rdpack reformulas Rfast Rfast2 rgl RhpcBLASctl rlang rmarkdown rmio Rnanoflann RSpectra rstatix S7 sass scales scatterplot3d shape sn SparseM stringi stringr survival tibble tidyr tidyselect timeDate tinytex urca utf8 vctrs viridis viridisLite withr xfun yaml zigg zoo

Help page	Topics
Clustering with Compositional Data	CompositionalClust-package
Cluster indices for the K-means algorithm for compositional data using the alpha-transformation	alfa.cikmeans
The K-means algorithm for compositional data using the alpha-transformation	alfa.kmeans
The K-means algorithm with cluster indices computed	cikmeans
Visualization of the K-means algorithm results	clust.plot
Gaussian mixture models for compositional data using the alpha-transformation	alfa.mix.norm
Cluster indices (maximal valued) for the K-means algorithm	index_max
Cluster indices (minimial valued) for the K-means algorithm	index_min
Mixture model selection with the alpha-transformation using BIC	bic.alfamixnorm
The alpha-transformation	alfa

Package: CompositionalClust 1.3

CompositionalClust: Clustering with Compositional Data

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)