Bayesian Mixtures with an Unknown Number of Components

---

Documentation for package ‘telescope’ version 0.1-0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

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.
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.