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: 0.4.1
Depends: R (≥ 3.4), ggraph
Imports: checkmate, igraph, dplyr, grid, ggplot2, viridis, methods, rlang, tidygraph, ggrepel
Suggests: testthat, knitr, rmarkdown, SingleCellExperiment, Seurat (≥ 2.3.0), covr, SummarizedExperiment, pkgdown, spelling
Published: 2019-08-21
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
NeedsCompilation: no
Language: en-GB
Citation: clustree citation info
Materials: README NEWS
CRAN checks: clustree results

Downloads:

Reference manual: clustree.pdf
Vignettes: Plotting clustering trees
Package source: clustree_0.4.1.tar.gz
Windows binaries: r-devel: clustree_0.4.1.zip, r-release: clustree_0.4.1.zip, r-oldrel: clustree_0.4.1.zip
OS X binaries: r-release: clustree_0.4.1.tgz, r-oldrel: clustree_0.4.1.tgz
Old sources: clustree archive

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