mcmc-0.6.2.5: 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
PFastMcmc.Proposal
PName 
1 (Type/Class)Mcmc.Proposal, Mcmc
2 (Data Constructor)Mcmc.Proposal, Mcmc
poissonMcmc.Prior, Mcmc
positiveMcmc.Prior, Mcmc
PosteriorMcmc.Posterior, Mcmc
PosteriorFunctionMcmc.Posterior, Mcmc
PosteriorFunctionGMcmc.Posterior, Mcmc
PosteriorGMcmc.Posterior, Mcmc
prDescriptionMcmc.Proposal
prDimensionMcmc.Proposal
prepareProposalsMcmc.Cycle
PriorMcmc.Prior, Mcmc
priorMcmc.Chain.Link
PriorFunctionMcmc.Prior, Mcmc
priorFunctionMcmc.Chain.Chain
PriorFunctionGMcmc.Prior, Mcmc
PriorGMcmc.Prior, Mcmc
prNameMcmc.Proposal
product'Mcmc.Prior, Mcmc
Proposal 
1 (Type/Class)Mcmc.Proposal, Mcmc
2 (Data Constructor)Mcmc.Proposal
proposalHeaderMcmc.Proposal
proposalHLineMcmc.Cycle
ProposalSimpleMcmc.Proposal
prSimpleMcmc.Proposal
prSpeedMcmc.Proposal
prTunerMcmc.Proposal
prWeightMcmc.Proposal
PSlowMcmc.Proposal
PSpecialMcmc.Proposal
PSpeedMcmc.Proposal
pushAMcmc.Acceptance
pushTMcmc.Chain.Trace
PWeightMcmc.Proposal, Mcmc
pWeightMcmc.Proposal, Mcmc