mcmc-0.4.0.0: 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
pDescriptionMcmc.Proposal
PDimension 
1 (Type/Class)Mcmc.Proposal
2 (Data Constructor)Mcmc.Proposal
pDimensionMcmc.Proposal
PDimensionUnknownMcmc.Proposal
PName 
1 (Type/Class)Mcmc.Proposal, Mcmc
2 (Data Constructor)Mcmc.Proposal, Mcmc
pNameMcmc.Proposal
poissonMcmc.Prior, Mcmc
positiveMcmc.Prior, Mcmc
priorMcmc.Chain.Link
PriorFunctionMcmc.Chain.Chain, Mcmc
priorFunctionMcmc.Chain.Chain
product'Mcmc.Prior, Mcmc
Proposal 
1 (Type/Class)Mcmc.Proposal, Mcmc
2 (Data Constructor)Mcmc.Proposal
proposalHeaderMcmc.Proposal
proposalHLineMcmc.Proposal
ProposalSimpleMcmc.Proposal
pSimpleMcmc.Proposal
pTunerMcmc.Proposal
pushAMcmc.Proposal
pushTMcmc.Chain.Trace
PWeight 
1 (Type/Class)Mcmc.Proposal, Mcmc
2 (Data Constructor)Mcmc.Proposal, Mcmc
pWeightMcmc.Proposal