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## definition of implemented MCMC algorithms
## these names should be exported or made visible in some way
## when building the package version
## file name starts with 'z' so that chains and steps have been
## defined before
## Note: adaptive algorithm'steps need to hold the required
## info from the past trough their parameters list
## see, eg, AMHario example
# Random Walk HM with gaussian proposal
RWHM <- list(name = "RWHM",
chain = RWHM_chain, # simulation of a single chain
step = RWHM_step,
q_pdf = gaussian_pdf,
q_proposal = gaussian_proposal)
# gaussian IID sampler ("fake" MCMC for testing)
IID_norm <- list(name = "IID gauss",
chain = IID_chain,
step = IID_step,
q_pdf = NULL,
q_proposal = q_proposal_ISnorm)
# Independence Sampler HM with gaussian proposal
HMIS_norm <- list(name = "HMIS gauss",
chain = HMIS_norm_chain,
step = HM_step,
q_pdf = q_pdf_ISnorm,
q_proposal = q_proposal_ISnorm)
# Adaptive-Metropolis (AM) Haario (2001)
# probably have to write a specific HM_step handling adaptive cov
# at each step, for the EntropyParallel usage
AMHaario <- list(name = "AM Haario",
chain = AMHaario_chain,
step = HM_step,
q_pdf = gaussian_pdf,
q_proposal = gaussian_proposal)
# define in the same way your own MCMC...
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