| 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 |