mcmc-0.3.0: Sample from a posterior using Markov chain Monte Carlo

Index - S

saveMcmc.Status
saveStatusMcmc.Save
saveWithMcmc.Status, Mcmc
scaleMcmc.Proposal.Scale, Mcmc
scaleBactrianMcmc.Proposal.Bactrian, Mcmc
scaleContrarilyMcmc.Proposal.Scale, Mcmc
scaleUnbiasedMcmc.Proposal.Scale, Mcmc
SequentialOMcmc.Proposal, Mcmc
SequentialReversibleOMcmc.Proposal, Mcmc
setOrderMcmc.Proposal, Mcmc
SimplexMcmc.Proposal.Simplex, Mcmc
simplexFromVectorMcmc.Proposal.Simplex, Mcmc
simplexUniformMcmc.Proposal.Simplex, Mcmc
singletonTMcmc.Trace
slideMcmc.Proposal.Slide, Mcmc
slideBactrianMcmc.Proposal.Bactrian, Mcmc
slideContrarilyMcmc.Proposal.Slide, Mcmc
slideSymmetricMcmc.Proposal.Slide, Mcmc
slideUniformSymmetricMcmc.Proposal.Slide, Mcmc
startMcmc.Status
stateMcmc.Item
Status 
1 (Type/Class)Mcmc.Status
2 (Data Constructor)Mcmc.Status
statusMcmc.Status, Mcmc
summarizeCycleMcmc.Proposal