mascarade: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots

Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.

Version:	0.3.0
Depends:	R (≥ 3.5)
Imports:	data.table, spatstat.geom, spatstat.explore, lifecycle, ggplot2, scales, polyclip, ggforce, vctrs, rlang, cli, systemfonts
Suggests:	testthat (≥ 3.0.0), rmarkdown, knitr, patchwork, ggnewscale, ggsci, Seurat, SeuratObject
Published:	2026-01-12
DOI:	10.32614/CRAN.package.mascarade (may not be active yet)
Author:	Alexey Sergushichev [aut, cre]
Maintainer:	Alexey Sergushichev <alsergbox at gmail.com>
BugReports:	https://github.com/alserglab/mascarade/issues
License:	MIT + file LICENSE
URL:	https://alserglab.github.io/mascarade/
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	mascarade results

Documentation:

Reference manual:	mascarade.html , mascarade.pdf
Vignettes:	Gallery of mascarade-generaded masks (source, R code) Using mascarade package (source, R code)

Downloads:

Package source:	mascarade_0.3.0.tar.gz
Windows binaries:	r-devel: not available, r-release: mascarade_0.3.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): mascarade_0.3.0.tgz, r-oldrel (arm64): mascarade_0.3.0.tgz, r-release (x86_64): mascarade_0.3.0.tgz, r-oldrel (x86_64): mascarade_0.3.0.tgz

Linking:

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