View source: R/dynamicWhittle_prior_and_mcmc_params.R
bdp_dw_mcmc_params_gen | R Documentation |
Generate a list of values for MCMC algorithm
bdp_dw_mcmc_params_gen(
Ntotal = 110000,
burnin = 60000,
thin = 10,
adaptive.batchSize = 50,
adaptive.targetAcceptanceRate = 0.44
)
Ntotal |
total number of iterations to run the Markov chain |
burnin |
number of initial iterations to be discarded |
thin |
thinning number (for post-processing of the posterior sample) |
adaptive.batchSize |
the batch size for the adaptive MCMC algorithm for sampling tau |
adaptive.targetAcceptanceRate |
the target acceptance rate for the adaptive MCMC algorithm for sampling tau |
A list of MCMC parameter values
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