Package: RSDA
Type: Package
Title: R to Symbolic Data Analysis
Version: 3.0.4
Date: 2020-06-05
Authors@R: c(
    person("Oldemar", "Rodriguez", email = "oldemar.rodriguez@ucr.ac.cr", role = "cre"),
    person("Carlos", "Aguero", email = "carlos.aguero@promidat.com", role = "aut"),
    person("Jorge", "Arce", role = "cph"))
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.4)
URL: http://www.oldemarrodriguez.com
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
RoxygenNote: 7.1.0
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,
        labelled
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2020-06-05 16:59:16 UTC; promidat04
Author: Oldemar Rodriguez [cre],
  Carlos Aguero [aut],
  Jorge Arce [cph]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Repository: CRAN
Date/Publication: 2020-06-07 17:40:13 UTC
Built: R 4.1.0; ; 2020-08-03 14:57:37 UTC; windows
