Package: rSCA 3.1

rSCA: An R Package for Stepwise Cluster Analysis

A statistical tool for multivariate modeling and clustering using stepwise cluster analysis. The modeling output of rSCA is constructed as a cluster tree to represent the complicated relationships between multiple dependent and independent variables. A free tool (named rSCA Tree Generator) for visualizing the cluster tree from rSCA is also released and it can be downloaded at <https://rscatree.weebly.com/>.

Authors:Xiuquan Wang

rSCA_3.1.tar.gz
rSCA_3.1.zip(r-4.5)rSCA_3.1.zip(r-4.4)rSCA_3.1.zip(r-4.3)
rSCA_3.1.tgz(r-4.5-any)rSCA_3.1.tgz(r-4.4-any)rSCA_3.1.tgz(r-4.3-any)
rSCA_3.1.tar.gz(r-4.5-noble)rSCA_3.1.tar.gz(r-4.4-noble)
rSCA_3.1.tgz(r-4.4-emscripten)rSCA_3.1.tgz(r-4.3-emscripten)
rSCA.pdf |rSCA.html
rSCA/json (API)

# Install 'rSCA' in R:
install.packages('rSCA', repos = c('https://xanderwangcsl.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.04 score 11 scripts 209 downloads 4 exports 0 dependencies

Last updated 5 years agofrom:dfbbec64b9. Checks:3 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 28 2025
R-4.5-winNOTEFeb 28 2025
R-4.5-macNOTEFeb 28 2025
R-4.5-linuxNOTEFeb 28 2025
R-4.4-winNOTEFeb 28 2025
R-4.4-macNOTEFeb 28 2025
R-4.3-winOKFeb 28 2025
R-4.3-macOKFeb 28 2025

Exports:rSCA.correlationrSCA.inferencerSCA.missingrSCA.modeling

Dependencies: