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BNPMIXcluster  

Bayesian Nonparametric Model for Clustering with Mixed Scale Variables
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BNPMIXcluster", "1.3")



Attach the package and use:
library("BNPMIXcluster")
Maintained by
Christian Carmona
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-03
Latest Update: 2022-11-20
Description:
Model-based approach for clustering of multivariate data capable of combining different types of variables continuous ordinal and nominal and accommodating for different sampling probabilities in a complex survey design. The model is based on a location mixture model with a Poisson-Dirichlet process prior on the location parameters of the associated latent variables. Details of the underlying model is described in Carmona C. Nieto-Barajas L. E. Canale A. 2016 arXiv1612.00083.
How to cite:
Christian Carmona (2016). BNPMIXcluster: Bayesian Nonparametric Model for Clustering with Mixed Scale Variables. R package version 1.3, https://cran.r-project.org/web/packages/BNPMIXcluster. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.1.0 (2016-12-03 01:26), 0.2.0 (2017-02-01 16:12), 1.1.0 (2017-08-31 14:56), 1.2.2 (2017-09-19 09:43), 1.2.4 (2017-09-26 21:46), 1.3 (2020-11-30 12:10)
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Functions, R codes and Examples using the BNPMIXcluster R package
Full BNPMIXcluster package functions and examples
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