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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.

Type Size Name Uploaded Downloads Labels
conda 622.9 kB | win-64/r-admit-2.1.3-r36hda5aaf8_0.tar.bz2  5 years and 6 months ago 0 main
conda 607.5 kB | osx-64/r-admit-2.1.3-r36h46e59ec_0.tar.bz2  5 years and 6 months ago 0 main
conda 609.6 kB | linux-64/r-admit-2.1.3-r36h96ca727_0.tar.bz2  5 years and 6 months ago 0 main

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