The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: | 3.2.1 |
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, xtable, plotly, ggrepel |
Suggests: | testthat (≥ 2.1.0), knitr, rmarkdown |
Published: | 2023-11-10 |
DOI: | 10.32614/CRAN.package.RSDA |
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: | https://oldemarrodriguez.com/ |
NeedsCompilation: | no |
CRAN checks: | RSDA results |
Reference manual: | RSDA.pdf |
Vignettes: |
Instroduction to RSDA packages |
Package source: | RSDA_3.2.1.tar.gz |
Windows binaries: | r-devel: RSDA_3.2.1.zip, r-release: RSDA_3.2.1.zip, r-oldrel: RSDA_3.2.1.zip |
macOS binaries: | r-release (arm64): RSDA_3.2.1.tgz, r-oldrel (arm64): RSDA_3.2.1.tgz, r-release (x86_64): RSDA_3.2.1.tgz, r-oldrel (x86_64): RSDA_3.2.1.tgz |
Old sources: | RSDA archive |
Reverse depends: | ggESDA |
Reverse imports: | symbolicDA |
Reverse suggests: | dataSDA |
Please use the canonical form https://CRAN.R-project.org/package=RSDA to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.