Package: mascarade
Type: Package
Title: Generating Cluster Masks for Single-Cell Dimensional Reduction
        Plots
Version: 0.3.1
Authors@R: person("Alexey", "Sergushichev", email = "alsergbox@gmail.com", role = c("aut", "cre"))
Description: 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.
Imports: data.table, spatstat.geom, spatstat.explore, lifecycle,
        ggplot2, polyclip, ggforce, vctrs, rlang, cli, systemfonts
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0), rmarkdown, knitr, patchwork, ggnewscale,
        ggsci, Seurat, scales, SeuratObject
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://alserglab.github.io/mascarade/
BugReports: https://github.com/alserglab/mascarade/issues
NeedsCompilation: no
Packaged: 2026-02-13 22:54:43 UTC; alserg
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 23:30:02 UTC
Built: R 4.6.0; ; 2026-02-13 23:47:33 UTC; unix
