[aut, cre],
Alicia Oshlack [aut],
Andrea Rau [ctb]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: | 0.1.2 |
| Depends: | R (≥ 3.4), ggraph |
| Imports: | checkmate, igraph, dplyr, grid, ggplot2, viridis, methods, rlang |
| Suggests: | testthat, knitr, rmarkdown, SingleCellExperiment, Seurat, covr |
| Published: | 2018-04-20 |
| Author: | Luke Zappia [aut, cre],
Alicia Oshlack [aut],
Andrea Rau [ctb] |
| Maintainer: | Luke Zappia <luke.zappia at mcri.edu.au> |
| BugReports: | https://github.com/lazappi/clustree/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/lazappi/clustree |
| NeedsCompilation: | no |
| Citation: | clustree citation info |
| Materials: | README NEWS |
| CRAN checks: | clustree results |
| Reference manual: | clustree.pdf |
| Vignettes: |
Plotting clustering trees |
| Package source: | clustree_0.1.2.tar.gz |
| Windows binaries: | r-devel: clustree_0.1.2.zip, r-release: clustree_0.1.2.zip, r-oldrel: clustree_0.1.2.zip |
| OS X binaries: | r-release: clustree_0.1.2.tgz, r-oldrel: not available |
| Old sources: | clustree archive |
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