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: | 2.0.3 |
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), RColorBrewer |
Suggests: | testthat |
Published: | 2018-02-14 |
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 |
Reference manual: | RSDA.pdf |
Package source: | RSDA_2.0.3.tar.gz |
Windows binaries: | r-devel: RSDA_2.0.3.zip, r-release: RSDA_2.0.3.zip, r-oldrel: RSDA_1.3.zip |
OS X El Capitan binaries: | r-release: RSDA_2.0.3.tgz |
OS X Mavericks binaries: | r-oldrel: not available |
Old sources: | RSDA archive |
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