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 |
EFdiscretization |
EF: Equal-Frequency discretization |
is.not.informative.variable |
Is a vector an non informative variable |
linkspotterComplete |
Linkspotter complete runner |
linkspotterGraph |
Linkspotter graph runner |
linkspotterGraphOnMatrix |
Linkspotter graph on matrix |
linkspotterOnFile |
Process Linkspotter on an external file |
linkspotterUI |
Linkspotter 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 |