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ordinalClust  

Ordinal Data Clustering, Co-Clustering and Classification
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ordinalClust", "1.3.5")



Attach the package and use:
library("ordinalClust")
Maintained by
Margot Selosse
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-17
Latest Update: 2024-01-12
Description:
Ordinal data classification, clustering and co-clustering using model-based approach with the BOS distribution for ordinal data (Christophe Biernacki and Julien Jacques (2016) ).
How to cite:
Margot Selosse (2017). ordinalClust: Ordinal Data Clustering, Co-Clustering and Classification. R package version 1.3.5, https://cran.r-project.org/web/packages/ordinalClust
Previous versions and publish date:
1.1 (2017-11-17 19:48), 1.2.1 (2018-01-08 23:21), 1.2 (2017-11-18 23:28), 1.3.1 (2018-08-06 15:00), 1.3.3 (2019-06-19 19:20), 1.3.4 (2019-07-25 14:40), 1.3.5 (2020-11-19 09:20), 1.3 (2018-07-31 11:20)
Other packages that cited ordinalClust R package
View ordinalClust citation profile
Other R packages that ordinalClust depends, imports, suggests or enhances
Functions, R codes and Examples using the ordinalClust R package
Some associated functions: Msimulated . bosclassif . bosclust . boscoclust . dataqol.classif . dataqol . pejSim . plot . predict . summary . 
Some associated R codes: RcppExports.R . bosclassif.R . bosclust.R . boscoclust.R . bosplot.R . bossummary.R . check-params-module.R . classesDef.R . get_seed.R . methodsDef.R . pejSim.R . predictions.R . testSeedR.R .  Full ordinalClust package functions and examples
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