To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("flowClust")

In most cases, you don't need to download the package archive at all.

flowClust

Clustering for Flow Cytometry

Bioconductor version: Release (2.14)

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'.

Author: Raphael Gottardo <raph at stat.ubc.ca>, Kenneth Lo <c.lo at stat.ubc.ca>, Greg Finak <gfinak at fhcrc.org>

Maintainer: Greg Finak <gfinak at fhcrc.org>, Mike Jiang <wjiang2 at fhcrc.org>

Citation (from within R, enter citation("flowClust")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("flowClust")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("flowClust")

 

PDF R Script flowClust package
PDF   Reference Manual
Text   README
Text   NEWS

Details

biocViews Clustering, FlowCytometry, Software, Visualization
Version 3.4.10
In Bioconductor since BioC 2.2 (R-2.7)
License Artistic-2.0
Depends R (>= 2.5.0), methods, Biobase, graph, RBGL, ellipse, flowViz, mnormt, corpcor, flowCore, clue
Imports BiocGenerics, MCMCpack
Suggests parallel
System Requirements
URL
Depends On Me flowMerge, flowTrans
Imports Me flowPhyto, flowTrans, flowType, openCyto
Suggests Me BiocGenerics

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source flowClust_3.4.10.tar.gz
Windows Binary flowClust_3.4.10.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) flowClust_3.4.10.tgz
Mac OS X 10.9 (Mavericks) flowClust_3.4.10.tgz
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