Package: RMixtCompUtilities 4.1.6

Quentin Grimonprez

RMixtCompUtilities: Utility Functions for 'MixtComp' Outputs

Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with heterogeneous data sets and partially missing data management. This package contains graphical, getter and some utility functions to facilitate the analysis of 'MixtComp' output.

Authors:Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Matthieu Marbac-Lourdelle [aut], Étienne Goffinet [ctb], Serge Iovleff [ctb], Julien Vandaele [ctb]

RMixtCompUtilities_4.1.6.tar.gz
RMixtCompUtilities_4.1.6.zip(r-4.7)RMixtCompUtilities_4.1.6.zip(r-4.6)RMixtCompUtilities_4.1.6.zip(r-4.5)
RMixtCompUtilities_4.1.6.tgz(r-4.6-any)RMixtCompUtilities_4.1.6.tgz(r-4.5-any)
RMixtCompUtilities_4.1.6.tar.gz(r-4.7-any)RMixtCompUtilities_4.1.6.tar.gz(r-4.6-any)
RMixtCompUtilities_4.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RMixtCompUtilities/json (API)
NEWS

# Install 'RMixtCompUtilities' in R:

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

Bug tracker:https://github.com/modal-inria/mixtcomp/issues

On CRAN:

clustering cpp heterogeneous-data missing-data mixed-data mixture-model statistics

5.19 score 13 stars 1 packages 2 scripts 287 downloads 35 exports 64 dependencies

Last updated from:d0fc7e870c. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	168
source / vignettes	OK	230
linux-release-x86_64	NOTE	175
macos-release-arm64	NOTE	95
macos-oldrel-arm64	NOTE	82
windows-devel	NOTE	117
windows-release	NOTE	127
windows-oldrel	NOTE	129
wasm-release	OK	140

Exports:availableModels completeAlgo computeDiscrimPowerClass computeDiscrimPowerVar computeSimilarityClass computeSimilarityVar convertFunctionalToVector createAlgo createFunctional formatData formatModel getBIC getCompletedData getEmpiricTik getICL getMixtureDensity getModel getParam getPartition getProportion getTik getType getVarNames heatmapClass heatmapTikSorted heatmapVar histMisclassif plotConvergence plotDataBoxplot plotDataCI plotDiscrimClass plotDiscrimVar plotParamConvergence plotProportion refactorCategorical

Dependencies:askpass base64enc bslib cachem cli cpp11 crosstalk curl data.table digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 glue gtable highr htmltools htmlwidgets httr isoband jquerylib jsonlite knitr labeling later lazyeval lifecycle magrittr memoise mime openssl otel pillar pkgconfig plotly promises purrr R6 rappdirs RColorBrewer Rcpp rlang rmarkdown S7 sass scales stringi stringr sys tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
RMixtCompUtilities	RMixtCompUtilities-package RMixtCompUtilities
Available models	availableModels
Add the missing element to algo parameter	completeAlgo
Discriminative power	computeDiscrimPowerClass computeDiscrimPowerVar
Similarity	computeSimilarityClass computeSimilarityVar
Convert a MixtComp functional string into a list of 2 vectors	convertFunctionalToVector
Create algo object	createAlgo
Create a functional in MixtComp format	createFunctional
Format the data parameter required by rmc	formatData
Format the model parameter	formatModel
Get criterion value	getBIC getICL
Get the completed data from MixtComp object	getCompletedData
Get the tik	getEmpiricTik getTik
Get the mixture density	getMixtureDensity
Get the estimated parameter	getParam getProportion
Get the estimated class from MixtComp object	getPartition
Names and Types Getters	getModel getType getVarNames
Heatmap of the similarities between classes about clustering	heatmapClass
Heatmap of the tik = P(Z_i=k\|x_i)	heatmapTikSorted
Heatmap of the similarities between variables about clustering	heatmapVar
Histogram of the misclassification probabilities	histMisclassif
Plot of a _MixtComp_ object	plot.MixtComp
Convergence of algorithm	plotConvergence
Boxplot per class	plotDataBoxplot
Mean and 95%-level confidence intervals per class	plotDataCI
Barplot of the discriminative power of the classes	plotDiscrimClass
Barplot of the discriminative power of the variables	plotDiscrimVar
Evolution of parameters	plotParamConvergence
Plot the mixture's proportions	plotProportion
Print Values	print.MixtComp
Rename a categorical value	refactorCategorical
MixtComp Object Summaries	summary.MixtComp