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RMixtCompUtilities (version 4.1.3)

Utility Functions for 'MixtComp' Outputs

Description

Mixture Composer 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.

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Version

Install

install.packages('RMixtCompUtilities')

Monthly Downloads

299

Version

4.1.3

License

AGPL-3

Issues

Pull Requests

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Repository

https://github.com/modal-inria/MixtComp

Homepage

https://massiccc.lille.inria.fr/

Maintainer

Julien Vandaele

Last Published

October 2nd, 2020

Functions in RMixtCompUtilities (4.1.3)

convertFunctionalToVector

Convert a mixtcomp string into a list of 2 vectors

computeDiscrimPowerVar

Discriminative power

computeSimilarityVar

availableModels

Available models

Get criterion value

createFunctional

Create a functional in MixtComp format

getCompletedData

Get the completed data from MixtComp object

Create algo object

RMixtCompUtilities-package

RMixtCompUtilities

heatmapTikSorted

Heatmap of the tik = P(Z_i=k|x_i)

Heatmap of the similarities between classes about clustering

summary.MixtComp

MixtComp Object Summaries

refactorCategorical

Rename a categorical value

Names and Types Getters

Get the estimated parameter

Mean and 95%-level confidence intervals per class

Get the estimated class from MixtComp object

plotDiscrimClass

Barplot of the discriminative power of the classes

plotDataBoxplot

Boxplot per class

plotConvergence

Convergence of algorithm

Histogram of the misclassification probabilities

Plot of a MixtComp object

Heatmap of the similarities between variables about clustering

Plot the mixture's proportions

Barplot of the discriminative power of the variables

plotParamConvergence

Evolution of parameters