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visxhclust: A Shiny App for Visual Exploration of Hierarchical Clustering

A Shiny application and functions for visual exploration of hierarchical clustering with numeric datasets. Allows users to iterative set hyperparameters, select features and evaluate results through various plots and computation of evaluation criteria.

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: shiny, shinyhelper, shinycssloaders, bsplus, DT, ggplot2, dplyr, readr, tidyr, cluster, fastcluster, clValid, dunn.test, RColorBrewer, dendextend, ComplexHeatmap, circlize, patchwork, knitr, kableExtra
Suggests: testthat (≥ 3.0.0), rmarkdown
Published: 2023-03-17
Author: Rafael Henkin [aut, cre]
Maintainer: Rafael Henkin <r.henkin at qmul.ac.uk>
BugReports: https://github.com/rhenkin/visxhclust/issues
License: GPL-3
URL: https://github.com/rhenkin/visxhclust
NeedsCompilation: no
Materials: README NEWS
CRAN checks: visxhclust results

Documentation:

Reference manual: visxhclust.pdf
Vignettes: Documenting evaluation
Documenting a workflow
visxhclust Shiny app tutorial

Downloads:

Package source: visxhclust_1.1.0.tar.gz
Windows binaries: r-devel: visxhclust_1.1.0.zip, r-release: visxhclust_1.1.0.zip, r-oldrel: visxhclust_1.1.0.zip
macOS binaries: r-release (arm64): visxhclust_1.1.0.tgz, r-oldrel (arm64): visxhclust_1.1.0.tgz, r-release (x86_64): visxhclust_1.1.0.tgz, r-oldrel (x86_64): visxhclust_1.1.0.tgz
Old sources: visxhclust archive

Linking:

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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.
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