Package: flowClust
Type: Package
Title: Clustering for Flow Cytometry
Version: 3.36.0
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: 2022-11-01 21:33:52 UTC; biocbuild
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: RELEASE_3_16
git_last_commit: 478cf19
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: yes
Built: R 4.2.2; x86_64-apple-darwin13.4.0; 2022-11-06 17:40:43 UTC; unix
