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telescope: Bayesian Mixtures with an Unknown Number of Components

Fits Bayesian finite mixtures with an unknown number of components using the telescoping sampler and different component distributions. For more details see Frühwirth-Schnatter et al. (2021) <doi:10.1214/21-BA1294>.

Version:	0.1-0
Depends:	R (≥ 4.0.0)
Imports:	abind, bayesm, DirichletReg, extraDistr, graphics, grDevices, MCMCpack, methods, mvtnorm, stats
Suggests:	klaR, knitr, mclust, poLCA, rmarkdown
Published:	2024-06-15
DOI:	10.32614/CRAN.package.telescope
Author:	Gertraud Malsiner-Walli [aut, cre], Bettina Grün [aut], Sylvia Frühwirth-Schnatter [aut]
Maintainer:	Gertraud Malsiner-Walli <Gertraud.Malsiner-Walli at wu.ac.at>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	telescope results

Documentation:

Reference manual:	telescope.pdf
Vignettes:	Bayesian Latent Class Analysis Models with the Telescoping Sampler Bayesian Poisson Mixtures with the Telescoping Sampler Bayesian Multivariate Gaussian Mixtures with the Telescoping Sampler Bayesian Univariate Gaussian Mixtures with the Telescoping Sampler

Downloads:

Package source:	telescope_0.1-0.tar.gz
Windows binaries:	r-devel: telescope_0.1-0.zip, r-release: telescope_0.1-0.zip, r-oldrel: telescope_0.1-0.zip
macOS binaries:	r-release (arm64): telescope_0.1-0.tgz, r-oldrel (arm64): telescope_0.1-0.tgz, r-release (x86_64): telescope_0.1-0.tgz, r-oldrel (x86_64): telescope_0.1-0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.