| BeEFdiscretization.numfact | BeEF: Best Equal-Frequency discretization |
| BeEFdiscretization.numnum | BeEF: Best Equal-Frequency discretization (for a couple of quantitative variables) |
| clusterVariables | Variable clustering (using Normal Mixture Modeling for Model-Based Clustering : mclust) |
| corCouplesToMatrix | Couples to matrix |
| createShinyAppFolder | Ready-for-deployment shiny app folder creation |
| linkspotterComplete | Linspotter complete runner |
| linkspotterGraph | Linspotter graph runner |
| linkspotterGraphOnMatrix | Linspotter graph on matrix |
| linkspotterOnFile | Proccess Linkspotter on an external file |
| linkspotterUI | Linspotter user interface runner |
| matrixToCorCouples | Matrix to couples |
| maxNMI | Maximal Normalized Mutual Information (MaxNMI) |
| multiBivariateCorrelation | Calculation of all the bivariate correlations in a dataframe |
| NormalizedMI | Maximal Normalized Mutual Information (MaxNMI) function for 2 categorical variables |