CRAN: Package clustree

clustree: Visualise Clusterings at Different Resolutions

Deciding what resolution to use can be a difficult question when approaching a clustering analysis. One way to approach this problem is to look at how samples move as the number of clusters increases. This package allows you to produce clustering trees, a visualisation for interrogating clusterings as resolution increases.

Version: 0.5.1

Depends: R (≥ 3.5), ggraph

Imports: checkmate, igraph, dplyr, grid, ggplot2 (≥ 3.4.0), viridis, methods, rlang, tidygraph, ggrepel

Suggests: testthat (≥ 2.1.0), knitr, rmarkdown, SingleCellExperiment, Seurat (≥ 2.3.0), covr, SummarizedExperiment, pkgdown, spelling

Published: 2023年11月05日

DOI: 10.32614/CRAN.package.clustree

Author: Luke Zappia ORCID iD [aut, cre], Alicia Oshlack ORCID iD [aut], Andrea Rau [ctb], Paul Hoffman ORCID iD [ctb]

Maintainer: Luke Zappia <luke at lazappi.id.au>

BugReports: https://github.com/lazappi/clustree/issues

License: GPL-3

URL: https://github.com/lazappi/clustree, https://lazappi.github.io/clustree/

NeedsCompilation: no

Language: en-GB

Citation: clustree citation info

Materials: README, NEWS

CRAN checks: clustree results

Documentation:

Reference manual: clustree.html , clustree.pdf

Vignettes: Plotting clustering trees (source, R code)

Downloads:

Package source: clustree_0.5.1.tar.gz

Windows binaries: r-devel: clustree_0.5.1.zip, r-release: clustree_0.5.1.zip, r-oldrel: clustree_0.5.1.zip

macOS binaries: r-release (arm64): clustree_0.5.1.tgz, r-oldrel (arm64): clustree_0.5.1.tgz, r-release (x86_64): clustree_0.5.1.tgz, r-oldrel (x86_64): clustree_0.5.1.tgz

Old sources: clustree archive

Reverse dependencies:

Reverse imports: chevreulPlot, crosshap, scRNAstat, scTreeViz

Reverse suggests: CIARA, MitoHEAR, plotthis

Linking:

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