Uses of Package
dev.nm.stat.random.rng.multivariate.mcmc.metropolis

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 and 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 and 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. a function that gives the unnormalized probability density of transitioning from one state to another.