Package: ClusVis 1.2.0

Matthieu Marbac

ClusVis: Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering

Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering done on any type of data. Visualization is based on the probabilities of classification.

Authors:Christophe Biernacki [aut], Matthieu Marbac [aut, cre], Vincent Vandewalle [aut]

ClusVis_1.2.0.tar.gz
ClusVis_1.2.0.tar.gz(r-4.5-noble)ClusVis_1.2.0.tar.gz(r-4.4-noble)
ClusVis_1.2.0.tgz(r-4.4-emscripten)ClusVis_1.2.0.tgz(r-4.3-emscripten)
ClusVis.pdf |ClusVis.html✨
ClusVis/json (API)
NEWS

# Install 'ClusVis' in R:

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

Uses libs:

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

Datasets:

congress - Real categorical data set: Congressional Voting Records Data Set

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

openblas cpp

1.48 score 10 scripts 185 downloads 3 mentions 4 exports 56 dependencies

Last updated 6 years agofrom:76d48f0b91. Checks:OK: 1 NOTE: 1. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Dec 09 2024
R-4.5-linux-x86_64	NOTE	Dec 09 2024

Exports:clusvis clusvisMixmod clusvisVarSelLCM plotDensityClusVisu

Dependencies:base64enc bslib cachem cli colorspace commonmark crayon digest fansi farver fastmap fontawesome fs ggplot2 glue gtable htmltools httpuv isoband jquerylib jsonlite labeling later lattice lifecycle magrittr MASS Matrix memoise mgcv mime munsell mvtnorm nlme pillar pkgconfig promises R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen rlang Rmixmod sass scales shiny sourcetools tibble utf8 VarSelLCM vctrs viridisLite withr xtable

Citation

Readme and manuals

Help Manual

Help page	Topics
Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering.	ClusVis-package ClusVis
This function estimates the parameters used for visualization	clusvis
This function estimates the parameters used for visualization of model-based clustering performs with R package Rmixmod. To achieve the parameter infernece, it automatically samples probabilities of classification from the model parameters	clusvisMixmod
This function estimates the parameters used for visualization of model-based clustering performs with R package Rmixmod. To achieve the parameter infernece, it automatically samples probabilities of classification from the model parameters	clusvisVarSelLCM
Real categorical data set: Congressional Voting Records Data Set	congress
Function for visualizing the clustering results	plotDensityClusVisu

Package: ClusVis 1.2.0

ClusVis: Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)