mcmc-0.5.0.0: Sample from a posterior using Markov chain Monte Carlo

Index - P

ParallelMcmc.Settings, Mcmc
ParallelizationModeMcmc.Settings, Mcmc
PDescription 
1 (Type/Class)Mcmc.Proposal
2 (Data Constructor)Mcmc.Proposal
PDimension 
1 (Type/Class)Mcmc.Proposal
2 (Data Constructor)Mcmc.Proposal
PDimensionUnknownMcmc.Proposal
PeriodMcmc.Monitor
PName 
1 (Type/Class)Mcmc.Proposal, Mcmc
2 (Data Constructor)Mcmc.Proposal, Mcmc
poissonMcmc.Prior, Mcmc
positiveMcmc.Prior, Mcmc
PosteriorMcmc.Posterior
prDescriptionMcmc.Proposal
prDimensionMcmc.Proposal
prepareProposalsMcmc.Proposal
PriorMcmc.Prior, Mcmc
priorMcmc.Chain.Link
PriorFunctionMcmc.Prior, Mcmc.Chain.Chain, Mcmc
priorFunctionMcmc.Chain.Chain
prNameMcmc.Proposal
product'Mcmc.Prior, Mcmc
Proposal 
1 (Type/Class)Mcmc.Proposal, Mcmc
2 (Data Constructor)Mcmc.Proposal
proposalHeaderMcmc.Proposal
proposalHLineMcmc.Proposal
ProposalSimpleMcmc.Proposal
prSimpleMcmc.Proposal
prTunerMcmc.Proposal
prWeightMcmc.Proposal
pushAMcmc.Proposal
pushTMcmc.Chain.Trace
PWeightMcmc.Proposal, Mcmc
pWeightMcmc.Proposal, Mcmc