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.
|Author||David Ardia [aut, cre], Lennart Hoogerheide [ctb], Herman van Dijk [ctb]|
|Date of publication||2017-02-05 00:13:41|
|Maintainer||David Ardia <firstname.lastname@example.org>|
|License||GPL (>= 2)|