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: |
3.0.13 |
| 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, tsne |
| Suggests: |
testthat (≥ 2.1.0), knitr, rmarkdown |
| Published: |
2022-07-16 |
| 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: |
http://www.oldemarrodriguez.com |
| NeedsCompilation: |
no |
| CRAN checks: |
RSDA results |