Package: BayesBinMix 1.4.2
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_1.4.2.tar.gz
BayesBinMix_1.4.2.zip(r-4.7-any)BayesBinMix_1.4.2.zip(r-4.6-any)BayesBinMix_1.4.2.zip(r-4.5-any)
BayesBinMix_1.4.2.tgz(r-4.6-any)BayesBinMix_1.4.2.tgz(r-4.5-any)
BayesBinMix_1.4.2.tar.gz(r-4.7-any)BayesBinMix_1.4.2.tar.gz(r-4.6-any)
BayesBinMix_1.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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:04e28517ec. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 127 | ||
| source / vignettes | OK | 154 | ||
| linux-release | OK | 136 | ||
| macos-release | OK | 101 | ||
| macos-oldrel | OK | 86 | ||
| windows-devel | OK | 64 | ||
| windows-release | OK | 79 | ||
| windows-oldrel | OK | 58 | ||
| wasm-release | OK | 81 |
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 |
