Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.
Version: 3.2.4 Depends: R (≥ 3.4) Imports: vctrs (≥ 0.2.4), dplyr (≥ 0.8.5), forcats, scales, stringr, rlang (≥ 0.4.5), purrr, magrittr, tidyselect, tibble (≥ 3.0.0), stats, RJSONIO, XML, ggplot2, ggpolypath, reshape, glmnet, FactoMineR, princurve, nloptr, sqldf, randomcoloR, kknn, e1071, gbm, randomForest, rpart, neuralnet, umap, xtable, plotly, ggrepel Suggests: testthat (≥ 2.1.0), knitr, rmarkdown Published: 2025-06-02 DOI: 10.32614/CRAN.package.RSDA Author: Oldemar Rodriguez [aut, cre], Jose Emmanuel Chacon [cph], Carlos Aguero [cph], Jorge Arce [cph] Maintainer: Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://oldemarrodriguez.com/ NeedsCompilation: no CRAN checks: RSDA results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=RSDA to link to this page.
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