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 ucr.ac.cr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
http://www.oldemarrodriguez.com |
| NeedsCompilation: |
no |
| CRAN checks: |
RSDA results |