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Provides a friendly (flexible) Markov Chain Monte Carlo (MCMC) framework for implementing Metropolis-Hastings algorithm in a modular way allowing users to specify automatic convergence checker, personalized transition kernels, and out-of-the-box multiple MCMC chains using parallel computing. Most of the methods implemented in this package can be found in Brooks et al. (2011, ISBN 9781420079425).

Type Size Name Uploaded Downloads Labels
conda 1.4 MB | noarch/r-fmcmc-0.5_2-r43h142f84f_0.tar.bz2  1 year and 1 month ago 21 main
conda 1.4 MB | noarch/r-fmcmc-0.5_1-r42h142f84f_0.tar.bz2  2 years and 8 months ago 53 main
conda 550.0 kB | noarch/r-fmcmc-0.2_0-r36h6115d3f_0.tar.bz2  5 years and 1 day ago 118 main

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