Man pages for RMixtCompUtilities
Utility Functions for 'MixtComp' Outputs
| availableModels | Available models |
| completeAlgo | Add the missing element to algo parameter |
| computeDiscrimPowerVar | Discriminative power |
| 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 |
| getMixtureDensity | Get the mixture density |
| getParam | Get the estimated parameter |
| getPartition | Get the estimated class from MixtComp object |
| getType | 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... |
| histMisclassif | Histogram of the misclassification probabilities |
| 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 |
| plot.MixtComp | Plot of a _MixtComp_ object |
| plotParamConvergence | Evolution of parameters |
| plotProportion | Plot the mixture's proportions |
| print.MixtComp | Print Values |
| refactorCategorical | Rename a categorical value |
| RMixtCompUtilities-package | RMixtCompUtilities |
| summary.MixtComp | MixtComp Object Summaries |
