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ClickClust (version 1.1.5)

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

1.1.5

License

GPL (>= 2)

Maintainer

Volodymyr Melnykov

Last Published

October 23rd, 2016

Functions in ClickClust (1.1.5)

click.forward

Forward search for equivalent states
msnbc323

Dataset: msnbc323
click.EM

EM algorithm for mixtures of Markov models
ClickClust-package

Model-based clustering of categorical sequences
click.backward

Backward search for equivalent states
print.object

Functions for Printing or Summarizing Objects
click.predict

Prediction of future state visits
click.plot

Plot of the obtained clustering solution
C

Dataset: simulated dataset
B3

Dataset: result of backward state selection
click.var

Variance-covariance matrix estimation
synth

Illustrative dataset: sequences of five states
click.sim

Simulating sequences of visited states
click.read

Reading sequences of visited states