AntMAN
1.1.0Anthology of Mixture Analysis Tools
Overview
Fits finite Bayesian mixture models with a random number of components. The MCMC algorithm implemented is based on point processes as proposed by Argiento and De Iorio (2019) arXiv:1904.09733 and offers a more computationally efficient alternative to reversible jump. Different mixture kernels can be specified: univariate Gaussian, multivariate Gaussian, univariate Poisson, and multivariate Bernoulli (latent class analysis). For the parameters characterising the mixture kernel, we specify conjugate priors, with possibly user specified hyper-parameters. We allow for different choices for the prior on the number of components: shifted Poisson, negative binomial, and point masses (i.e. mixtures with fixed number of components).
Install
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Documentation
- Examples that run
- 70%
- Documented parameters
- 88%
- Return-value docs
- 89%
- References docs
- 5%
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Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-09-17email to the maintainer is undeliverable
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.1.02021-07-23 · diff ↗
- unarchivedReturned to CRAN2021-07-23
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2020-03-31installation problems were not corrected in time
- 1.02019-10-28
- RR 3.6.0 released · 2019-04-26
Package metadata
- Total releases
- 2
- License
- MIT + file LICENSE OSI
- Bundled data
- 49 KB / 4 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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