Clustering for Flow Cytometry

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Documentation for package ‘flowClust’ version 3.31.0

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flowClust-package Clustering for Flow Cytometry
%in%-method Creating Filters and Filtering Flow Cytometry Data
BIC Extract the BIC for a flowClust fit.
BIC.flowClust Extract the BIC for a flowClust fit.
BIC.flowClustList Extract the BIC for a flowClust fit.
box Box-Cox Transformation
criterion Various Functions for Retrieving Information from Clustering Results
criterion-method Various Functions for Retrieving Information from Clustering Results
criterion<- Various Functions for Retrieving Information from Clustering Results
criterion<--method Various Functions for Retrieving Information from Clustering Results
density-method Grid of Density Values for the Fitted t Mixture Model with Box-Cox Transformation
density.flowClust 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
flowClust-class Robust Model-based Clustering for Flow Cytometry
flowClust.den generate the curve that reflects the tmixture fitting outcome
flowClust2Prior Generate a prior specification based on a flowClust model This function generates a prior specification based on a flowClust fit object It can be passed to a second round of flowClust() with usePrior="yes" The prior could be estimated from a single sample, for example, and then used to speed up the convergence for other samples.
flowClustList-class Robust Model-based Clustering for Flow Cytometry
flowDens-class Grid of Density Values for the Fitted t Mixture Model with Box-Cox Transformation
fowClust Robust Model-based Clustering for Flow Cytometry
getEstimates Various Functions for Retrieving Information from Clustering Results
hist.flowClust 1-D Density Plot (Histogram) of Clustering Results
hist.flowClustList 1-D Density Plot (Histogram) of Clustering Results
importance Various Functions for Retrieving Information from Clustering Results
length-method Creating Filters and Filtering Flow Cytometry Data
Map Cluster Assignment Based on Clustering Results
Map-method Cluster Assignment Based on Clustering Results
Map.flowClust Cluster Assignment Based on Clustering Results
mkPrior Generate a flowClust prior specification
mkPrior-method Generate a flowClust prior specification
peakMatch Function to match peaks across samples
plot Scatterplot of Clustering Results
plot-method Scatterplot of Clustering Results
plot-method Scatterplot / 1-D Density Plot of Filtering (Clustering) Results
plot-method Contour or Image Plot of Clustering Results
plot.flowDens Contour or Image Plot of Clustering Results
plot.flowFrame Scatterplot / 1-D Density Plot of Filtering (Clustering) Results
plot.flowFrame.tmixFilterResult Scatterplot / 1-D Density Plot of Filtering (Clustering) Results
plot.tmixFilterResult Scatterplot / 1-D Density Plot of Filtering (Clustering) Results
plotPrior Plots a flowClust prior over some data.
posterior Various Functions for Retrieving Information from Clustering Results
rbox Reverse Box-Cox Transformation
rituximab The Rituximab Dataset
ruleOutliers Showing or Modifying the Rule used to Identify Outliers
ruleOutliers-method Showing or Modifying the Rule used to Identify Outliers
ruleOutliers.flowClust Showing or Modifying the Rule used to Identify Outliers
ruleOutliers<- Showing or Modifying the Rule used to Identify Outliers
ruleOutliers<--method Showing or Modifying the Rule used to Identify Outliers
show-method Show Method for flowClust / tmixFilterResult Object
show.flowClust Show Method for flowClust / tmixFilterResult Object
show.tmixFilterResult Show Method for flowClust / tmixFilterResult Object
SimulateMixture Random Generation from a t Mixture Model with Box-Cox Transformation
split Splitting Data Based on Clustering Results
split-method Splitting Data Based on Clustering Results
split.flowClust Splitting Data Based on Clustering Results
split.flowFrame Splitting Data Based on Clustering Results
split.tmixFilterResult Splitting Data Based on Clustering Results
Subset Subsetting Data Based on Clustering Results
Subset-method Subsetting Data Based on Clustering Results
Subset.flowClust Subsetting Data Based on Clustering Results
Subset.flowFrame Subsetting Data Based on Clustering Results
Subset.flowFrame.tmixFilterResult Subsetting Data Based on Clustering Results
Subset.tmixFilterResult Subsetting Data Based on Clustering Results
summarizeFilter-method Creating Filters and Filtering Flow Cytometry Data
summary Summary Method for flowClust Object
summary-method Summary Method for flowClust Object
summary.flowClust Summary Method for flowClust Object
summary.tmixFilterResult Summary Method for flowClust Object
tmixFilter Creating Filters and Filtering Flow Cytometry Data
tmixFilter-class Creating Filters and Filtering Flow Cytometry Data
tmixFilterResult-class Creating Filters and Filtering Flow Cytometry Data
tmixFilterResultList Creating Filters and Filtering Flow Cytometry Data
tmixFilterResultList-class Creating Filters and Filtering Flow Cytometry Data
uncertainty Various Functions for Retrieving Information from Clustering Results
[-method Creating Filters and Filtering Flow Cytometry Data
[[-method Creating Filters and Filtering Flow Cytometry Data