mcmc-0.6.0.0: Sample from a posterior using Markov chain Monte Carlo

Index - T

takeTMcmc.Chain.Trace
tComputeAuxiliaryTuningParametersMcmc.Proposal
tComputeTuningParameterMcmc.Proposal
tGetAuxiliaryTuningParametersMcmc.Proposal
tGetSimpleProposalMcmc.Proposal
tGetTuningParameterMcmc.Proposal
thawTMcmc.Chain.Trace
ThermodynamicIntegrationMcmc.MarginalLikelihood, Mcmc
toSavedChainMcmc.Chain.Save
toVectorMcmc.Proposal.Simplex, Mcmc
TraceMcmc.Chain.Trace
traceMcmc.Chain.Chain
TraceAutoMcmc.Settings, Mcmc
TraceLengthMcmc.Settings, Mcmc
TraceMinimumMcmc.Settings, Mcmc
transformKeysAMcmc.Acceptance
Tune 
1 (Type/Class)Mcmc.Proposal, Mcmc
2 (Data Constructor)Mcmc.Proposal, Mcmc
Tuner 
1 (Type/Class)Mcmc.Proposal
2 (Data Constructor)Mcmc.Proposal
tuneWithChainParametersMcmc.Proposal
tuneWithTuningParametersMcmc.Proposal
TuningParameterMcmc.Proposal
tuningParameterMaxMcmc.Proposal
tuningParameterMinMcmc.Proposal