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ClickClust (version 1.1.6)

Model-Based Clustering of Categorical Sequences

Description

Clustering categorical sequences by means of finite mixtures with Markov model components is the main utility of ClickClust. The package also allows detecting blocks of equivalent states by forward and backward state selection procedures.

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Version

Install

install.packages('ClickClust')

Monthly Downloads

345

Version

1.1.6

License

GPL (>= 2)

Maintainer

Volodymyr Melnykov

Last Published

December 3rd, 2023

Functions in ClickClust (1.1.6)

click.forward

Forward search for equivalent states
click.plot

Plot of the obtained clustering solution
click.read

Reading sequences of visited states
ClickClust-package

Model-based clustering of categorical sequences
print.object

Functions for Printing or Summarizing Objects
synth

Illustrative dataset: sequences of five states
C

Dataset: simulated dataset
click.sim

Simulating sequences of visited states
click.backward

Backward search for equivalent states
B3

Dataset: result of backward state selection
click.var

Variance-covariance matrix estimation
click.predict

Prediction of future state visits
click.EM

EM algorithm for mixtures of Markov models
msnbc323

Dataset: msnbc323