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cmbClust  

Conditional Mixture Modeling and Model-Based Clustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cmbClust", "0.0.1")



Attach the package and use:
library("cmbClust")
Maintained by
Yang Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-03
Latest Update: 2022-11-03
Description:
Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.
How to cite:
Yang Wang (2022). cmbClust: Conditional Mixture Modeling and Model-Based Clustering. R package version 0.0.1, https://cran.r-project.org/web/packages/cmbClust
Previous versions and publish date:
No previous versions
Other packages that cited cmbClust R package
View cmbClust citation profile
Other R packages that cmbClust depends, imports, suggests or enhances
Functions, R codes and Examples using the cmbClust R package
Some associated functions: ais . cmb.em . cmb.plot . cmb.search . cmbClust-package . smltn . 
Some associated R codes: EMc.R . beta.name.R . cmb.density.R . cmb.em.R . cmb.plot.R . cmb.search.R . expr.R . initial_EMEM.R . initial_id0.R . initial_sid.R . method.backward.R . method.forward.R . method.none.R . method.stepwise.R . ordersch.R . permutations.R . steps.R . zzz.R .  Full cmbClust package functions and examples
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