AdMit: Adaptive Mixture of Student-t distributions

This package provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function. 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: 1-00.04
Depends: mvtnorm
Suggests: coda
Date: 2008-11-29
Author: David Ardia, Lennart F. Hoogerheide and Herman K. van Dijk
Maintainer: David Ardia <david.ardia at unifr.ch>
License: GPL (≥2)
URL: http://perso.unifr.ch/david.ardia/
In views: Distributions
CRAN checks: AdMit results

Downloads:

Package source: AdMit_1-00.04.tar.gz
MacOS X binary: AdMit_1-00.02.tgz
Windows binary: AdMit_1-00.04.zip
Reference manual: AdMit.pdf
Old sources: AdMit archive