Package: BayesBinMix 1.4.1
BayesBinMix: Bayesian Estimation of Mixtures of Multivariate Bernoulli Distributions
Fully Bayesian inference for estimating the number of clusters and related parameters to heterogeneous binary data.
Authors:
BayesBinMix_1.4.1.tar.gz
BayesBinMix_1.4.1.zip(r-4.5)BayesBinMix_1.4.1.zip(r-4.4)BayesBinMix_1.4.1.zip(r-4.3)
BayesBinMix_1.4.1.tgz(r-4.4-any)BayesBinMix_1.4.1.tgz(r-4.3-any)
BayesBinMix_1.4.1.tar.gz(r-4.5-noble)BayesBinMix_1.4.1.tar.gz(r-4.4-noble)
BayesBinMix_1.4.1.tgz(r-4.4-emscripten)BayesBinMix_1.4.1.tgz(r-4.3-emscripten)
BayesBinMix.pdf |BayesBinMix.html✨
BayesBinMix/json (API)
| # Install 'BayesBinMix' in R: |
| install.packages('BayesBinMix', repos = c('https://mqbssppe.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:bc24c85cdf. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 17 2024 |
| R-4.5-win | NOTE | Oct 17 2024 |
| R-4.5-linux | NOTE | Oct 17 2024 |
| R-4.4-win | NOTE | Oct 17 2024 |
| R-4.4-mac | NOTE | Oct 17 2024 |
| R-4.3-win | OK | Oct 17 2024 |
| R-4.3-mac | OK | Oct 17 2024 |
Exports:allocationSamplerBinMixcollapsedGibbsBinMixcomplete.loglikelihoodcoupledMetropolisdealWithLabelSwitchingdealWithLabelSwitchingMissinggibbsBinMixmyDirichletprint.bbm.objecttoSolve
Dependencies:codacodetoolscombinatdoParallelforeachiteratorslabel.switchinglatticelpSolve
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Estimation of Mixtures of Multivariate Bernoulli Distributions | BayesBinMix-package BayesBinMix |
| The allocation sampler algorithm. | allocationSamplerBinMix |
| collapsed Gibbs sampler | collapsedGibbsBinMix |
| complete log-likelihood | complete.loglikelihood |
| Metropolis-coupled Markov chain Monte Carlo sampler | coupledMetropolis |
| Label switching algorithms | dealWithLabelSwitching |
| Label switching algorithms for the case of missing data | dealWithLabelSwitchingMissing |
| Standard Gibbs sampler | gibbsBinMix |
| Simulate from Dirichlet distribution | myDirichlet |
| Print function | print.bbm.object |
| An equation to solve | toSolve |
