mcmc-0.7.0.1: Sample from a posterior using Markov chain Monte Carlo

Index - N

nAcceptedMcmc.Acceptance
NChains 
1 (Type/Class)Mcmc.Algorithm.MC3, Mcmc
2 (Data Constructor)Mcmc.Algorithm.MC3, Mcmc
negativeMcmc.Prior, Mcmc
nLeapfrogScalingFactorMcmc.Proposal.Hamiltonian.Nuts, Mcmc
nMassesMcmc.Proposal.Hamiltonian.Nuts, Mcmc
NoBurnInMcmc.Settings, Mcmc
noLikelihoodMcmc.Likelihood, Mcmc
noPriorMcmc.Prior, Mcmc
normalMcmc.Prior, Mcmc
NormalTuningStepMcmc.Proposal
NoSaveMcmc.Settings, Mcmc
NoTuneMcmc.Proposal, Mcmc
NParams 
1 (Type/Class)Mcmc.Proposal.Hamiltonian.Nuts, Mcmc
2 (Data Constructor)Mcmc.Proposal.Hamiltonian.Nuts, Mcmc
NPoints 
1 (Type/Class)Mcmc.MarginalLikelihood, Mcmc
2 (Data Constructor)Mcmc.MarginalLikelihood, Mcmc
nRejectedMcmc.Acceptance
NSwaps 
1 (Type/Class)Mcmc.Algorithm.MC3, Mcmc
2 (Data Constructor)Mcmc.Algorithm.MC3, Mcmc
nutsMcmc.Proposal.Hamiltonian.Nuts, Mcmc