R: Utility Functions for 'MixtComp' Outputs

# Utility Functions for 'MixtComp' Outputs

## Documentation for package ‘RMixtCompUtilities’ version 4.1.6

- DESCRIPTION file
- Package NEWS

## Help Pages

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