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pivmet  

Pivotal Methods for Bayesian Relabelling and k-Means Clustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pivmet", "0.6.0")



Attach the package and use:
library("pivmet")
Maintained by
Leonardo Egidi
[Scholar Profile | Author Map]
First Published: 2018-11-19
Latest Update: 2023-02-22
Description:
Collection of pivotal algorithms for: relabelling the MCMC chains in order to undo the label switching problem in Bayesian mixture models; fitting sparse finite mixtures; initializing the centers of the classical k-means algorithm in order to obtain a better clustering solution. For further details see Egidi, Pappad
How to cite:
Leonardo Egidi (2018). pivmet: Pivotal Methods for Bayesian Relabelling and k-Means Clustering. R package version 0.6.0, https://cran.r-project.org/web/packages/pivmet. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.1.0 (2018-11-19 19:50), 0.1.1 (2019-02-26 22:20), 0.2.0 (2019-06-24 18:50), 0.3.0 (2020-06-03 18:00), 0.4.0 (2021-04-30 12:50), 0.5.0 (2023-02-22 15:20)
Other packages that cited pivmet R package
View pivmet citation profile
Other R packages that pivmet depends, imports, suggests or enhances
Complete documentation for pivmet
Functions, R codes and Examples using the pivmet R package
Some associated functions: MUS . piv_KMeans . piv_MCMC . piv_plot . piv_rel . piv_sel . piv_sim . 
Some associated R codes: bayes_mcmc.R . mus.R . musk.R . pivotal.R . plot.R . relab.R . sim.R .  Full pivmet package functions and examples
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