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AdMit: Adaptive Mixture of Student-t Distributions

Provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function as described in Ardia et al. (2009) <doi:10.18637/jss.v029.i03>. The mixture approximation can then be used as the importance density in importance sampling or as the candidate density in the Metropolis-Hastings algorithm to obtain quantities of interest for the target density itself.

Version:2.1.9
Depends:mvtnorm
Suggests:coda
Published:2022-02-08
DOI:10.32614/CRAN.package.AdMit
Author:David ArdiaORCID iD [aut, cre, cph], Lennart Hoogerheide [ctb], Herman van Dijk [ctb]
Maintainer:David Ardia <david.ardia.ch at gmail.com>
BugReports:https://github.com/ArdiaD/AdMit/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
Copyright:see fileCOPYRIGHTS
URL:https://github.com/ArdiaD/AdMit
NeedsCompilation:yes
Citation:AdMit citation info
Materials:README,NEWS
In views:Bayesian,Cluster,Distributions
CRAN checks:AdMit results

Documentation:

Reference manual:AdMit.html ,AdMit.pdf

Downloads:

Package source: AdMit_2.1.9.tar.gz
Windows binaries: r-devel:AdMit_2.1.9.zip, r-release:AdMit_2.1.9.zip, r-oldrel:AdMit_2.1.9.zip
macOS binaries: r-release (arm64):AdMit_2.1.9.tgz, r-oldrel (arm64):AdMit_2.1.9.tgz, r-release (x86_64):AdMit_2.1.9.tgz, r-oldrel (x86_64):AdMit_2.1.9.tgz
Old sources: AdMit archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=AdMitto link to this page.


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