adaptMCMC

cranv1.5

Implementation of a Generic Adaptive Monte Carlo Markov Chain Sampler. Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) <DOI:10.1007/s11222-011-9269-5> and achieves often a high efficiency by tuning the pro

License GPL (>= 2)0 versions1 maintainers4 deps201 weekly dl
scheidan/adaptMCMC
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parallelcodaMatrixramcmc
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First published · 2024-01-30 01:21:23

Last updated · 2024-01-29T22:50:15+00:00