Package: ClickClust 1.1.6

Volodymyr Melnykov

ClickClust: Model-Based Clustering of Categorical Sequences

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.

Authors:Volodymyr Melnykov [aut, cre], Rouben Rostamian [ctb, cph]

ClickClust_1.1.6.tar.gz
ClickClust_1.1.6.tar.gz(r-4.5-noble)ClickClust_1.1.6.tar.gz(r-4.4-noble)
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ClickClust.pdf |ClickClust.html✨
ClickClust/json (API)
NEWS

# Install 'ClickClust' in R:
install.packages('ClickClust', repos = 'https://cloud.r-project.org')
Datasets:
  • B3 - Dataset: result of backward state selection
  • C - Dataset: simulated dataset
  • msnbc323 - Dataset: msnbc323
  • synth - Illustrative dataset: sequences of five states

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.78 score 2 stars 1 packages 420 downloads 12 exports 0 dependencies

Last updated 1 years agofrom:0e4db3448a. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-linux-x86_64OKMar 31 2025
R-4.4-linux-x86_64OKMar 31 2025

Exports:click.backwardclick.EMclick.forwardclick.plotclick.predictclick.readclick.simclick.varprint.EMprint.searchsummary.EMsummary.search

Dependencies:

Citation

To cite ClickClust in publications use:

Volodymyr Melnykov (2016). ClickClust: An R Package for Model-Based Clustering of Categorical Sequences. Journal of Statistical Software, 74(9), 1-34.<doi:10.18637/jss.v074.i09>

Corresponding BibTeX entry: 

  @Article{,
    title = {{ClickClust}: An {R} Package for Model-Based Clustering of
      Categorical Sequences},
    author = {Volodymyr Melnykov},
    journal = {Journal of Statistical Software},
    year = {2016},
    volume = {74},
    number = {9},
    pages = {1--34},
    doi = {10.18637/jss.v074.i09},
  }