# Bayesian Mixtures with an Unknown Number of Components

## Documentation for package ‘telescope’ version 0.2-0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

identifyLCAMixture | Solve label switching and identify mixture for a mixture of LCA models.
identifyMixture | Solve label switching and identify mixture.
plotBubble | Plot multivariate categorical data.
plotScatter | Pairwise scatter plots of the data.
priorOnAlpha_spec | Specify prior on alpha.
priorOnE0_spec | Specify prior on e0.
priorOnK_spec | Specify prior on K.
sampleAlpha | Sample alpha conditional on partition and K using an Metropolis-Hastings step with log-normal proposal.
sampleE0 | Sample e0 conditional on partition and K using an Metropolis-Hastings step with log-normal proposal.
sampleK_alpha | Sample K conditional on alpha where e0 = alpha/K.
sampleK_e0 | Sample K conditional on e0 (fixed or random, but not depending on K).
sampleLCA | Telescoping sampling of the LCA model where a prior on the number of components K is specified.
sampleLCAMixture | Telescoping sampling of the mixture of LCA models where a prior on the number of components K is specified.
sampleMultNormMixture | Telescoping sampling of a Bayesian finite multivariate Gaussian mixture where a prior on the number of components is specified.
samplePoisMixture | Telescoping sampling of a Bayesian finite Poisson mixture with a prior on the number of components K.
sampleUniNormMixture | Telescoping sampling of a Bayesian finite univariate Gaussian mixture where a prior on the number of components K is specified.
SimData | Simulated multivariate binary data