Package: flowClust
Type: Package
Title: Clustering for Flow Cytometry
Version: 3.50.0
Author: Raphael Gottardo, Kenneth Lo <c.lo@stat.ubc.ca>, Greg Finak
        <greg@ozette.ai>
Maintainer: Greg Finak <greg@ozette.ai>, Mike Jiang <mike@ozette.ai>
Depends: R(>= 2.5.0)
Imports: BiocGenerics, methods, Biobase, graph, flowCore, parallel
Suggests: testthat, flowWorkspace, flowWorkspaceData, knitr, rmarkdown,
        openCyto, flowStats(>= 4.7.1)
Description: Robust model-based clustering using a t-mixture model with
        Box-Cox transformation. Note: users should have GSL installed.
        Windows users: 'consult the README file available in the inst
        directory of the source distribution for necessary
        configuration instructions'.
Collate: 'SetClasses.R' 'SetMethods.R' 'flowClust.R' 'coerce.R'
        'flowClust-package.R' 'hist.R' 'miscellaneous.R' 'plot.R'
        'split.R'
License: MIT
Packaged: 2026-04-29 15:02:56 UTC; root
biocViews: ImmunoOncology, Clustering, Visualization, FlowCytometry
SystemRequirements: GNU make
Encoding: UTF-8
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Config/pak/sysreqs: make zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-28 12:32:49 UTC
RemoteUrl: https://github.com/bioc/flowClust
RemoteRef: RELEASE_3_23
RemoteSha: 3cae24ac8cd526b08e3ae101382cc91719cfd826
NeedsCompilation: yes
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-29 15:18:43 UTC; unix
