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:	2023-11-05
DOI:	10.32614/CRAN.package.clustree
Author:	Luke Zappia [aut, cre], Alicia Oshlack [aut], Andrea Rau [ctb], Paul Hoffman [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.pdf
Vignettes:	Plotting clustering trees

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:	crosshap, scRNAstat, scTreeViz
Reverse suggests:	CIARA, MitoHEAR, plotthis

Linking:

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