Uses of Package
dev.nm.stat.random.rng.multivariate.mcmc.metropolis
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Packages that use dev.nm.stat.random.rng.multivariate.mcmc.metropolis Package Description dev.nm.stat.random.rng.multivariate.mcmc.hybrid dev.nm.stat.random.rng.multivariate.mcmc.metropolis -
Classes in dev.nm.stat.random.rng.multivariate.mcmc.metropolis used by dev.nm.stat.random.rng.multivariate.mcmc.hybrid Class Description AbstractMetropolis The Metropolis algorithm is a Markov Chain Monte Carlo algorithm, which requires only a function f proportional to the PDF from which we wish to sample. -
Classes in dev.nm.stat.random.rng.multivariate.mcmc.metropolis used by dev.nm.stat.random.rng.multivariate.mcmc.metropolis Class Description AbstractMetropolis The Metropolis algorithm is a Markov Chain Monte Carlo algorithm, which requires only a function f proportional to the PDF from which we wish to sample.MetropolisHastings.ProposalDensityFunction Defines the density of a proposal function, i.e.