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 |