r-rsda 3.2.1
Propagated dependencies: r-xtable@1.8-4 r-xml@3.99-0.17 r-vctrs@0.6.5 r-umap@0.2.10.0 r-tidyselect@1.2.1 r-tibble@3.2.1 r-stringr@1.5.1 r-sqldf@0.4-11 r-scales@1.3.0 r-rpart@4.1.23 r-rlang@1.1.4 r-rjsonio@1.3-1.9 r-reshape@0.8.9 r-randomforest@4.7-1.2 r-randomcolor@1.1.0.1 r-purrr@1.0.2 r-princurve@2.1.6 r-plotly@4.10.4 r-nloptr@2.1.1 r-neuralnet@1.44.2 r-magrittr@2.0.3 r-kknn@1.3.1 r-glmnet@4.1-8 r-ggrepel@0.9.6 r-ggpolypath@0.3.0 r-ggplot2@3.5.1 r-gbm@2.2.2 r-forcats@1.0.0 r-factominer@2.11 r-e1071@1.7-16 r-dplyr@1.1.4
Channel: guix-cran
Home page: https://oldemarrodriguez.com/
Licenses: GPL 2+
Synopsis: R to Symbolic Data Analysis
Description:
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.
Total results: 1