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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
Version
1.1.6
1.1.5
1.1.4
1.1.3
1.1.2
0.1.1
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Install
install.packages('ClickClust')
Monthly Downloads
435
Version
1.1.6
License
GPL (>= 2)
Maintainer
Volodymyr Melnykov
Last Published
December 3rd, 2023
Functions in ClickClust (1.1.6)
Search functions
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