flowClust-package | R Documentation |
Robust model-based clustering using a t
mixture model with Box-Cox
transformation.
Package: | flowClust |
Type: | Package |
Version: | 2.0.0 |
Depends: | R(>= 2.5.0), methods, mnormt, mclust, ellipse, Biobase, flowCore |
Collate: | SetClasses.R SetMethods.R plot.R flowClust.R SimulateMixture.R |
biocViews: | Clustering, Statistics, Visualization |
License: | Artistic-2.0 |
Built: | R 2.6.1; universal-apple-darwin8.10.1; 2008-03-26 20:54:42; unix |
Box-Cox Transformation
Grid of Density Values for the
Fitted t
Mixture Model with Box-Cox Transformation
Density of the Multivariate t
Distribution
with Box-Cox Tranformation
Density of the
Multivariate t
Mixture Distribution with Box-Cox Tranformation
Robust Model-based Clustering for Flow Cytometry
1-D Density Plot (Histogram) of Clustering Results
Cluster Assignment Based on Clustering Results
Various Functions for Retrieving Information from Clustering Results
Scatterplot of Clustering Results
Contour or Image Plot of Clustering Results
Scatterplot / 1-D Density Plot of Filtering (Clustering) Results
Reverse Box-Cox Transformation
Showing or Modifying the Rule used to Identify Outliers
Show Method for flowClust
/ tmixFilterResult
Object
Show Method for
tmixFilter
Object
Random
Generation from a t
Mixture Model with Box-Cox Transformation
Splitting Data Based on Clustering Results
Subsetting Data Based on Clustering Results
Summary Method for
flowClust
Object
Creating Filters and Filtering Flow Cytometry Data
Further information is available in the vignette.
Raphael Gottardo <raph@stat.ubc.ca>, Kenneth Lo <c.lo@stat.ubc.ca>
Maintainer: Raphael Gottardo <raph@stat.ubc.ca>
Lo, K., Brinkman, R. R. and Gottardo, R. (2008) Automated Gating of Flow Cytometry Data via Robust Model-based Clustering. Cytometry A 73, 321-332.
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