Package: copre
Type: Package
Title: Tools for Nonparametric Martingale Posterior Sampling
Version: 0.2.2
Authors@R: c(
    person("Blake", "Moya", email = "blakemoya@utexas.edu",
           role = c("cre", "aut")),
    person("The University of Texas at Austin", role = c("cph", "fnd")))
Description: Performs Bayesian nonparametric density estimation using
        Martingale posterior distributions including the Copula
        Resampling (CopRe) algorithm. Also included are a Gibbs sampler
        for the marginal Gibbs-type mixture model and an extension to
        include full uncertainty quantification via a predictive
        sequence resampling (SeqRe) algorithm. The CopRe and SeqRe
        samplers generate random nonparametric distributions as output,
        leading to complete nonparametric inference on posterior
        summaries. Routines for calculating arbitrary functionals from
        the sampled distributions are included as well as an important
        algorithm for finding the number and location of modes, which
        can then be used to estimate the clusters in the data using,
        for example, k-means. Implements work developed in Moya B.,
        Walker S. G. (2022). <doi:10.48550/arxiv.2206.08418>, Fong, E.,
        Holmes, C., Walker, S. G. (2021)
        <doi:10.48550/arxiv.2103.15671>, and Escobar M. D., West, M.
        (1995) <doi:10.1080/01621459.1995.10476550>.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.1
Roxygen: list(markdown = TRUE)
LinkingTo: Rcpp, RcppArmadillo, BH
Imports: Rcpp, pracma, abind, dirichletprocess
Suggests: ggplot2
Repository: https://blakemoya.r-universe.dev
Date/Publication: 2025-10-20 17:02:59 UTC
RemoteUrl: https://github.com/blakemoya/copre
RemoteRef: HEAD
RemoteSha: ba8a2e2eea450d37c6dc3000d0a442546a859da8
NeedsCompilation: yes
Packaged: 2026-10-15 07:10:58 UTC; root
Author: Blake Moya [cre, aut],
  The University of Texas at Austin [cph, fnd]
Maintainer: Blake Moya <blakemoya@utexas.edu>