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RMixtCompUtilities (version 4.1.6)

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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Install

install.packages('RMixtCompUtilities')

Monthly Downloads

299

Version

4.1.6

License

AGPL-3

Issues

Pull Requests

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Repository

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

Maintainer

Quentin Grimonprez

Last Published

September 22nd, 2023

Functions in RMixtCompUtilities (4.1.6)

Plot the mixture's proportions

Get the estimated class from MixtComp object

plotDiscrimClass

Barplot of the discriminative power of the classes

Mean and 95%-level confidence intervals per class

plotDataBoxplot

Boxplot per class

plotConvergence

Convergence of algorithm

Barplot of the discriminative power of the variables

plotParamConvergence

Evolution of parameters

refactorCategorical

Rename a categorical value

Histogram of the misclassification probabilities

Plot of a MixtComp object

summary.MixtComp

MixtComp Object Summaries

computeDiscrimPowerVar

Discriminative power

Add the missing element to algo parameter

convertFunctionalToVector

Convert a MixtComp functional string into a list of 2 vectors

Format the model parameter

Format the data parameter required by rmc

availableModels

Available models

Create algo object

computeSimilarityVar

createFunctional

Create a functional in MixtComp format

RMixtCompUtilities-package

RMixtCompUtilities

Get the estimated parameter

Names and Types Getters

Heatmap of the similarities between classes about clustering

Get criterion value

Heatmap of the similarities between variables about clustering

getCompletedData

Get the completed data from MixtComp object

heatmapTikSorted

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

getMixtureDensity

Get the mixture density