RSDA: R to Symbolic Data Analysis

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: 3.0
Depends: R (≥ 3.4)
Imports: vctrs, dplyr, forcats, scales, stringr, rlang, purrr, magrittr, tidyselect, tibble, stats, RJSONIO, XML, ggplot2, ggpolypath, reshape, glmnet, FactoMineR, princurve, nloptr, sqldf, randomcoloR
Suggests: testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2019-10-22
Author: Oldemar Rodriguez [cre], Carlos Aguero [aut], Olger Calderon [cph], Roberto Zuniga [cph], Jorge Arce [cph]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: RSDA results


Reference manual: RSDA.pdf
Vignettes: Instroduction to RSDA packages
Package source: RSDA_3.0.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: RSDA_3.0.tgz, r-oldrel: RSDA_3.0.tgz
Old sources: RSDA archive

Reverse dependencies:

Reverse imports: symbolicDA


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