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-4.7)BayesBinMix_1.4.1.zip(r-4.6)BayesBinMix_1.4.1.zip(r-4.5)
BayesBinMix_1.4.1.tgz(r-4.6-any)BayesBinMix_1.4.1.tgz(r-4.5-any)
BayesBinMix_1.4.1.tar.gz(r-4.7-any)BayesBinMix_1.4.1.tar.gz(r-4.6-any)
BayesBinMix_1.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:bc24c85cdf. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 105 | ||
| source / vignettes | OK | 178 | ||
| linux-release-x86_64 | NOTE | 100 | ||
| macos-release-arm64 | NOTE | 106 | ||
| macos-oldrel-arm64 | NOTE | 133 | ||
| windows-devel | NOTE | 74 | ||
| windows-release | NOTE | 262 | ||
| windows-oldrel | NOTE | 70 | ||
| wasm-release | OK | 87 |
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 |
