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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 10 days ago 18 main
conda 1.4 MB | noarch/r-fmcmc-0.5_1-r42h142f84f_0.tar.bz2  2 years and 6 months ago 50 main
conda 550.0 kB | noarch/r-fmcmc-0.2_0-r36h6115d3f_0.tar.bz2  4 years and 10 months ago 115 main

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