Package: flowClust
Type: Package
Title: Clustering for Flow Cytometry
Version: 3.22.0
Author: Raphael Gottardo <raph@stat.ubc.ca>, Kenneth Lo <c.lo@stat.ubc.ca>, Greg
    Finak <gfinak@fhcrc.org>
Maintainer: Greg Finak <gfinak@fhcrc.org>, Mike Jiang <wjiang2@fhcrc.org>
Depends: R(>= 2.5.0)
Imports: BiocGenerics, methods, Biobase, graph, ellipse, flowViz,
        flowCore, clue, corpcor, mnormt, parallel
Suggests: testthat, flowWorkspace, flowWorkspaceData, knitr, rmarkdown,
        openCyto
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' 'SimulateMixture.R'
        'flowClust.R' 'coerce.R' 'flowClust-package.R' 'hist.R'
        'miscellaneous.R' 'mkPriors.R' 'peakMatch.R' 'plot.R' 'split.R'
License: Artistic-2.0
Packaged: 2019-05-03 00:26:11 UTC; biocbuild
biocViews: ImmunoOncology, Clustering, Visualization, FlowCytometry
SystemRequirements: GNU make
Encoding: UTF-8
RoxygenNote: 6.1.1
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/flowClust
git_branch: RELEASE_3_9
git_last_commit: 4eb453c
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
NeedsCompilation: yes
Built: R 3.6.0; x86_64-apple-darwin15.6.0; 2019-05-03 14:37:31 UTC; unix
