Package: DPCD
Title: Dirichlet Process Clustering with Dissimilarities
Version: 0.0.1
Authors@R: 
    person("Sam", "Morrissette", email = "samuel.morrissette01@gmail.com", role = c("cph", "aut", "cre"))
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.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: ggplot2, bayesplot, mcclust, cluster, truncnorm
Suggests: spelling,
Config/testthat/edition: 3
Depends: nimble, R (>= 3.5)
URL: https://github.com/SamMorrissette/DPCD
BugReports: https://github.com/SamMorrissette/DPCD/issues
Language: en-US
LazyData: true
LazyDataCompression: xz
Config/pak/sysreqs: libglpk-dev make libicu-dev libxml2-dev
Repository: https://sammorrissette.r-universe.dev
Date/Publication: 2025-12-14 02:11:41 UTC
RemoteUrl: https://github.com/sammorrissette/dpcd
RemoteRef: HEAD
RemoteSha: 95791e2c555db487d9fb512e9b10deb48e84617e
NeedsCompilation: no
Packaged: 2026-06-18 09:33:35 UTC; root
Author: Sam Morrissette [cph, aut, cre]
Maintainer: Sam Morrissette <samuel.morrissette01@gmail.com>