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ClickClust  

Model-Based Clustering of Categorical Sequences
View on CRAN: Click here


Download and install ClickClust package within the R console
Install from CRAN:
install.packages("ClickClust")

Install from Github:
library("remotes")
install_github("cran/ClickClust")

Install by package version:
library("remotes")
install_version("ClickClust", "1.1.6")



Attach the package and use:
library("ClickClust")
Maintained by
Volodymyr Melnykov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-04-28
Latest Update: 2023-12-03
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.
How to cite:
Volodymyr Melnykov (2014). ClickClust: Model-Based Clustering of Categorical Sequences. R package version 1.1.6, https://cran.r-project.org/web/packages/ClickClust. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.1.1 (2014-04-28 19:46), 1.1.2 (2014-09-23 05:48), 1.1.3 (2014-11-24 08:25), 1.1.4 (2015-04-08 07:25), 1.1.5 (2016-10-23 00:20)
Other packages that cited ClickClust R package
View ClickClust citation profile
Other R packages that ClickClust depends, imports, suggests or enhances
Complete documentation for ClickClust
Functions, R codes and Examples using the ClickClust R package
Some associated functions: B3 . BackwardSearch . C . ClickClust-package . ClickClust . ClickPlot . ForwardSearch . Predict . ReadData . SimData . VarEst . msnbc323 . print.summary . synth . 
Some associated R codes: libClickClust.R . libGraphics.R . main.R . zzz.R .  Full ClickClust package functions and examples
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