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DPCD  

Dirichlet Process Clustering with Dissimilarities
View on CRAN: Click here


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

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

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



Attach the package and use:
library("DPCD")
Maintained by
Sam Morrissette
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-19
Latest Update: 2025-12-19
Description:
A Bayesian hierarchical model for clustering dissimilarity data using the Dirichlet process. The latent configuration of objects and the number of clusters are automatically inferred during the fitting process. The package supports multiple models which are available to detect clusters of various shapes and sizes using different covariance structures. Additional functions are included to ensure adequate model fits through prior and posterior predictive checks.
How to cite:
Sam Morrissette (2025). DPCD: Dirichlet Process Clustering with Dissimilarities. R package version 0.0.1, https://cran.r-project.org/web/packages/DPCD. Accessed 06 Aug. 2026.
Previous versions and publish date:
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Other packages that cited DPCD R package
View DPCD citation profile
Other R packages that DPCD depends, imports, suggests or enhances
Complete documentation for DPCD
Functions, R codes and Examples using the DPCD R package
Full DPCD package functions and examples
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