ARAMIS 1.0.1

A R Adaptive Multiple Importance Sampling

Released Jan 21, 2013 by Luca Pozzi

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LearnBayes 2.15.1 MASS 7.3-50

The ARAMIS package runs the Adaptive Multiple Importance Sampler (AMIS) algorithm from Jean-Marie Cornuet, Jean-Michel Marin, Antonietta Mira and Christian Robert (2012), Adaptive Multiple Importance Sampling, Scandinavian Journal of Statistics. The Code is flexible enough to accommodate virtually any specification of the target and proposal distribution together with any clustering routine for the adaptation step and any initialization procedure.



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    <name>bedatadriven public repo</name>

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Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.



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