R: Clustering High-Throughput Transcriptome Sequencing (HTS) Data

# Clustering High-Throughput Transcriptome Sequencing (HTS) Data

## Documentation for package ‘HTSCluster’ version 2.0.11

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

HTSCluster-package | Clustering high throughput sequencing (HTS) data
emInit | Parameter initialization for a Poisson mixture model.
highDimensionARI | Calculate ARI for high-dimensional data via data splits
HTSCluster | Clustering high throughput sequencing (HTS) data
HTSClusterUsersGuide | View HTSCluster User's Guide
kmeanInit | Parameter initialization for a Poisson mixture model.
logLikePoisMix | Log likelihood calculation for a Poisson mixture model
logLikePoisMixDiff | Log likelihood calculation for a Poisson mixture model
mylogLikePoisMixObs | Log likelihood calculation for a Poisson mixture model
plot.HTSCluster | Visualize results from clustering using a Poisson mixture model
plot.HTSClusterWrapper | Visualize results from clustering using a Poisson mixture model
PoisMixClus | Poisson mixture model estimation and model selection
PoisMixClusWrapper | Poisson mixture model estimation and model selection
PoisMixMean | Calculate the conditional per-cluster mean of each observation
PoisMixSim | Simulate data from a Poisson mixture model
probaPost | Calculate the conditional probability of belonging to each cluster in a Poisson mixture model
probaPostInit | Parameter initialization for a Poisson mixture model.
splitEMInit | Parameter initialization for a Poisson mixture model.
summary.HTSCluster | Summarize results from clustering using a Poisson mixture model
summary.HTSClusterWrapper | Summarize results from clustering using a Poisson mixture model