Package: hypergate
Title: Machine Learning of Hyperrectangular Gating Strategies for
        High-Dimensional Cytometry
Version: 0.8.5
Authors@R: c(
               person("Etienne","Becht",email="etienne.becht@protonmail.com",role=c("cre","aut")),
               person("Samuel","Granjeaud",email="samuel.granjeaud@inserm.fr",role=c("ctb"))
	   )
Description: Given a high-dimensional dataset that typically represents
        a cytometry dataset, and a subset of the datapoints, this
        algorithm outputs an hyperrectangle so that datapoints within
        the hyperrectangle best correspond to the specified subset. In
        essence, this allows the conversion of clustering algorithms'
        outputs to gating strategies outputs.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, grDevices, utils, graphics
Suggests: knitr, rmarkdown, flowCore, sp, sf
VignetteBuilder: knitr
RoxygenNote: 7.3.0
NeedsCompilation: no
Packaged: 2026-06-22 08:29:29 UTC; root
Author: Etienne Becht [cre, aut], Samuel Granjeaud [ctb]
Maintainer: Etienne Becht <etienne.becht@protonmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2024-01-17 02:41:01 UTC
RemoteUrl: https://github.com/cran/hypergate
RemoteRef: HEAD
RemoteSha: 8eb34092ba1efccf8e4d793e80720f564545d8fb