| 16S | Count Data for 16S rRNA Sequences |
| build | Building an EMM using New Data |
| cluster | Data stream clustering with tNN |
| combine | Combining EMM Objects |
| Derwent | Derwent Catchment Data |
| DSC_EMM | DSC Interface for EMM and tNN (package stream) |
| EMM | Creator for Class "EMM" |
| EMM-class | Class "EMM" |
| EMMsim | Synthetic Data to Demonstrate EMMs |
| EMMTraffic | Hypothetical Traffic Data Set for EMM |
| fade | Fading Cluster Structure and EMM Layer |
| find_clusters | Find the EMM State/Cluster for an Observation |
| merge | Merge States of an EMM |
| plot.EMM | Visualize EMM Objects |
| predict | Predict a Future State |
| prune | Prune States and/or Transitions |
| recluster | Reclustering EMM states |
| remove | Remove States/Clusters or Transitions from an EMM |
| score | Score a New Sequence Given an EMM |
| smooth_transitions | Smooths transition counts between neighboring states/clusters |
| synthetic_stream | Create a Synthetic Data Stream |
| tNN-class | Class "tNN" |
| TRAC-class | TRAC: Creating a Markov Model from a Regular Clustering |
| TRACDS-class | Class "TRACDS" |
| transition | Access Transition Probabilities/Counts in an EMM |
| transition_table | Extract a Transition Table for a New Sequence Given an EMM |
| update | Update a TRACDS temporal structure with new state... |
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