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: |
2.0.8 |
| Depends: |
R (≥ 3.4) |
| Imports: |
RJSONIO, glmnet, abind, scatterplot3d, graphics, stats, utils, FactoMineR (≥ 1.36), XML, scales, ggplot2, princurve, sqldf, dplyr (≥ 0.7.1), tidyr, stringr, lazyeval, nloptr (≥ 1.0.4)
, xtable, pander, rlang (≥ 0.1.1), purrr, tidyselect, tibble, ggpolypath, reshape, randomcoloR |
| Suggests: |
testthat |
| Published: |
2018-10-10 |
| Author: |
Oldemar Rodriguez R. with contributions from Carlos Aguero, Olger Calderon, Roberto Zuniga and Jorge Arce |
| 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 |