====== SDA - software ======

===== Packages in R =====
prepared by **//Maria do Rosário de Oliveira Silva//**

A new package [[https://cran.r-project.org/web/packages/dataSDA/|dataSDA]] (June 2023) with SDA datasets appeared.
[[https://cran.r-project.org/web/packages/dataSDA/dataSDA.pdf|PDF]] 


The total number of downloads done in 2022 for each package is obtained according to the same package.

  - [[https://cran.r-project.org/web/packages/MAINT.Data/index.html|MAINT.Data]]: ''Model and Analyse Interval Data''
    * Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix. Parameters are estimated by maximum likelihood or robust trimmed maximum likelihood methods. In 2022 it registered **6361** downloads.
  - [[https://cran.r-project.org/web/packages/RSDA/index.html|RSDA]]: ''R to Symbolic Data Analysis'' 
    *This package implements, in the symbolic case, certain techniques of automatic classification, as well as some linear models. In 2022 it registered ''5848'' downloads.
  - [[https://cran.r-project.org/web/packages/HistDAWass/index.html|HistDAWass]]: ''Histogram-Valued Data Analysis''
    * The package contains unsupervised classification techniques, least squares regression, and tools for histogram-valued data and for histogram time series. The methods and the basic statistics are mainly based on the L<sub>2</sub> Wasserstein distance. In 2022 it registered **5124** downloads.
  - [[https://cran.r-project.org/web/packages/mdsOpt/index.html|mdsOpt]]: ''Searching for Optimal MDS Procedure for Metric and Interval-Valued Data''
    * Select the optimal multidimensional scaling (MDS) procedure for metric and interval-valued data.  This package also does conventional MDS. In 2022 it registered **4245** downloads.
  - [[https://cran.r-project.org/web/packages/symbolicDA/index.html|symbolicDA]]: ''Analysis of Symbolic Data''
    * Implements several symbolic data analysis estimation and visualization methods, including MDS, clustering, decision trees, and kernel discriminant analysis, among others, for symbolic data. In 2022 it registered **3573** downloads.
  - [[https://cran.r-project.org/web/packages/iRegression/index.html|iRegression]]: ''Regression Methods for Interval-Valued Variables''
    * Contains some important regression methods for interval-valued variables. In 2022 it registered **3130** downloads.
  - [[https://cran.r-project.org/web/packages/GraphPCA/index.html|GraphPCA]]: ''Graphical Tools of Histogram PCA''
    * Extends PCA for histogram-valued data. In 2022 it registered **2661** downloads.
  - [[https://cran.r-project.org/web/packages/ggESDA/index.html|ggESDA]]: ''Exploratory Symbolic Data Analysis with ggplot2''
    * Implements an extension of ''ggplot2'' and visualizes the symbolic data with multiple plots. In 2022 it registered **3287** downloads.

===== Older software links =====


  * [[http://www.info.fundp.ac.be/asso/SODAS2-software/|SODAS 2]]; [[http://www.ceremade.dauphine.fr/~touati/sodas-pagegarde.htm|@ ceremade.dauphine]]
  * [[http://syrokko.com/|Syrokko]]
  * Oldemar Rodriguez: [[https://cran.r-project.org/web/packages/RSDA/index.html|RSDA/CRAN]],[[http://promidat.com/promidat|PROMiDAT]], [[https://github.com/PROMiDAT|GitHub]]
  * Andrzej Dudek: [[http://keii.ae.jgora.pl/symbolicDA/index.html|symbolicDA]], [[https://cran.r-project.org/web/packages/symbolicDA/index.html|CRAN]]
  * Antonio Irpino: HistDAWass: Histogram-Valued Data Analysis. [[https://cran.r-project.org/web/packages/HistDAWass/index.html|CRAN]]
  * Vladimir Batagelj, Nataša Kejžar: Clamix. [[https://r-forge.r-project.org/projects/clamix/|R-forge]]
  * [[http://cran.r-project.org/web/packages/MAINT.Data/index.html | MAINT.Data]] : Implements methodologies for modelling Interval Data, considering five different possible configurations structures for the variance-covariance matrix. It performs maximum likelihood estimation and statistical tests as well as (M)ANOVA and Linear and Quadratic Discriminant Analysis for all considered configurations.  

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