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: 2012-07-13 20:14:40 UTC; finak
biocViews: ImmunoOncology, Clustering, Visualization, FlowCytometry
SystemRequirements: GNU make
Encoding: UTF-8
RoxygenNote: 7.1.1
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/flowClust
git_branch: devel
git_last_commit: 24bd31c
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
