Package: flowClust
Type: Package
Title: Clustering for Flow Cytometry
Version: 3.49.0
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: 2026-03-04 08:24:05 UTC; root
biocViews: ImmunoOncology, Clustering, Visualization, FlowCytometry
SystemRequirements: GNU make
Encoding: UTF-8
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Config/pak/sysreqs: make
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:00:22 UTC
RemoteUrl: https://github.com/bioc/flowClust
RemoteRef: HEAD
RemoteSha: 24bd31c78d331984016f0ea7dd9d9a04679fb229
NeedsCompilation: yes
Built: R 4.6.0; x86_64-w64-mingw32; 2026-03-04 08:27:06 UTC; windows
Archs: x64
