Model-Based Clustering of Categorical Sequences

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Documentation for package ‘ClickClust’ version 1.1.6

• DESCRIPTION file.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

ClickClust-package	Model-based clustering of categorical sequences
B3	Dataset: result of backward state selection
C	Dataset: simulated dataset
click.backward	Backward search for equivalent states
click.EM	EM algorithm for mixtures of Markov models
click.forward	Forward search for equivalent states
click.plot	Plot of the obtained clustering solution
click.predict	Prediction of future state visits
click.read	Reading sequences of visited states
click.sim	Simulating sequences of visited states
click.var	Variance-covariance matrix estimation
msnbc323	Dataset: msnbc323
print.EM	Functions for Printing or Summarizing Objects
print.search	Functions for Printing or Summarizing Objects
summary.EM	Functions for Printing or Summarizing Objects
summary.search	Functions for Printing or Summarizing Objects
synth	Illustrative dataset: sequences of five states