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caviarpd  

Cluster Analysis via Random Partition Distributions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("caviarpd", "0.3.13")



Attach the package and use:
library("caviarpd")
Maintained by
David B. Dahl
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-07
Latest Update: 2023-07-17
Description:
Cluster analysis is performed using pairwise distance information and a random partition distribution. The method is implemented for two random partition distributions. It draws samples and then obtains and plots clustering estimates. An implementation of a selection algorithm is provided for the mass parameter of the partition distribution. Since pairwise distances are the principal input to this procedure, it is most comparable to the hierarchical and k-medoids clustering methods. The method is Dahl, Andros, Carter (2022+) .
How to cite:
David B. Dahl (2022). caviarpd: Cluster Analysis via Random Partition Distributions. R package version 0.3.13, https://cran.r-project.org/web/packages/caviarpd. Accessed 27 Jan. 2025.
Previous versions and publish date:
0.3.4 (2022-12-07 22:10), 0.3.6 (2022-12-20 04:50), 0.3.9 (2023-07-17 21:00)
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Complete documentation for caviarpd
Functions, R codes and Examples using the caviarpd R package
Some associated functions: caviarpd . 
Some associated R codes: DDCRPPartition.R . caviarpd.R . roxido.R . samplePartition.R .  Full caviarpd package functions and examples
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