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flowClust (version 3.10.1)

flowClust-package: Clustering for Flow Cytometry

Description

Robust model-based clustering using a $t$ mixture model with Box-Cox transformation.

Arguments

Index

box
Box-Cox Transformation
density,flowClust-method
Grid of Density Values for the Fitted $t$ Mixture Model with Box-Cox Transformation
dmvt
Density of the Multivariate $t$ Distribution with Box-Cox Tranformation
dmvtmix
Density of the Multivariate $t$ Mixture Distribution with Box-Cox Tranformation
flowClust
Robust Model-based Clustering for Flow Cytometry
hist,flowClust-method
1-D Density Plot (Histogram) of Clustering Results
Map,flowClust-method
Cluster Assignment Based on Clustering Results
miscellaneous
Various Functions for Retrieving Information from Clustering Results
plot,flowClust-method
Scatterplot of Clustering Results
plot,flowDens-method
Contour or Image Plot of Clustering Results
plot,flowFrame,tmixFilterResult-method
Scatterplot / 1-D Density Plot of Filtering (Clustering) Results
rbox
Reverse Box-Cox Transformation
ruleOutliers,flowClust-method
Showing or Modifying the Rule used to Identify Outliers
show,flowClust-method
Show Method for flowClust / tmixFilterResult Object
show,tmixFilter-method
Show Method for tmixFilter Object
SimulateMixture
Random Generation from a $t$ Mixture Model with Box-Cox Transformation
split,flowClust-method
Splitting Data Based on Clustering Results
Subset,flowClust-method
Subsetting Data Based on Clustering Results
summary,flowClust-method
Summary Method for flowClust Object
tmixFilter
Creating Filters and Filtering Flow Cytometry Data

Details

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

References

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.