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0.4.3

Merge-Split Samplers for Conjugate Bayesian Nonparametric Models

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Overview

About
Maintained by David B. DahlFirst published 2020-08-263 releasesCRAN page ↗

Markov chain Monte Carlo samplers for posterior simulations of conjugate Bayesian nonparametric mixture models. Functionality is provided for Gibbs sampling as in Algorithm 3 of Neal (2000) DOI:10.1080/10618600.2000.10474879, restricted Gibbs merge-split sampling as described in Jain & Neal (2004) DOI:10.1198/1061860043001, and sequentially-allocated merge-split sampling DOI:10.1080/00949655.2021.1998502, as well as summary and utility functions.

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  • OK2026-03-10
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Documentation

Documentation
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Documented parameters
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Return-value docs
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References docs
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Dependencies

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R >= 3.5.0
Imports (2)
graphicsstats
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Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.4.3Latest
    2022-04-19 · current release · diff ↗
  • 0.4.2
    2021-06-15 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.4.0
    2020-08-26
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-08-26
Total releases
3 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
100 KB / 1 file
Download size
120 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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