The R Journal: article published in 2021, volume 13:2

dad: an R Package for Visualisation, Classification and Discrimination of Multivariate Groups Modelled by their Densities PDF download
Rachid Boumaza, Pierre Santagostini, Smail Yousfi and Sabine Demotes-Mainard , The R Journal (2021) 13:2, pages 179-207.

Abstract Multidimensional scaling (MDS), hierarchical cluster analysis (HCA), and discriminant analysis (DA) are classical techniques which deal with data made of n individuals and p variables. When the individuals are divided into T groups, the R package dad associates with each group a multivariate probability density function and then carries out these techniques on the densities, which are estimated by the data under consideration. These techniques are based on distance measures between densities: chi-square, Hellinger, Jeffreys, Jensen-Shannon, and L p for discrete densities, Hellinger , Jeffreys, L2 , and 2-Wasserstein for Gaussian densities, and L2 for numeric non-Gaussian densities estimated by the Gaussian kernel method. Practical methods help the user to give meaning to the outputs in the context of MDS and HCA and to look for an optimal prediction in the context of DA based on the one-leave-out misclassification ratio. Some functions for data management or basic statistics calculations on groups are annexed.

Received: 2020-10-13; online 2021-08-17, supplementary material, (2.6 KiB)
CRAN packages: stats, MASS, ade4, FactoMineR, cluster, dad, fda, fda.usc, fdadensity, compositions, Compositional, robCompositions
CRAN Task Views implied by cited CRAN packages: Multivariate, Distributions, Environmetrics, FunctionalData, Psychometrics, Robust, ChemPhys, Cluster, Econometrics, MissingData, NumericalMathematics, SocialSciences, Spatial, TeachingStatistics

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This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

  author = {Rachid Boumaza and Pierre Santagostini and Smail Yousfi and
          Sabine Demotes-Mainard},
  title = {{dad: an R Package for Visualisation, Classification and
          Discrimination of Multivariate Groups Modelled by
          their Densities}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-071},
  url = {},
  pages = {179--207},
  volume = {13},
  number = {2}