McmcOptions — McmcOptions-class • crmPack

McmcOptions is a class for the three canonical MCMC options as well as Random Number Generator settings.

Usage

McmcOptions(
  burnin = 10000L,
  step = 2L,
  samples = 10000L,
  rng_kind = NA_character_,
  rng_seed = NA_integer_
)

.DefaultMcmcOptions()

Arguments

burnin: (count)
number of burn-in iterations which are not saved.
step: (count)
only every step-th iteration is saved after the burn-in.
samples: (count)
number of resulting samples.
rng_kind: (string)
the name of the RNG type. Possible types are: Wichmann-Hill, Marsaglia-Multicarry, Super-Duper, Mersenne-Twister. If it is NA (default), then the RNG kind will be chosen by [rjags].
rng_seed: (number)
RNG seed corresponding to chosen rng_kind. It must be an integer value or NA (default), which means that the seed will be chosen by [rjags].

Slots

iterations: (count)
number of MCMC iterations.
burnin: (count)
number of burn-in iterations which are not saved.
step: (count)
only every step-th iteration is saved after the burnin. In other words, a sample from iteration i = 1,...,iterations, is saved if and only if (i - burnin) mod step = 0.
For example, for iterations = 6, burnin = 0 and step = 2, only samples from iterations 2,4,6 will be saved.
rng_kind: (string)
a Random Number Generator (RNG) type used by rjags::rjags. It must be one out of the following four values: base::Wichmann-Hill, base::Marsaglia-Multicarry, base::Super-Duper, base::Mersenne-Twister, or NA_character_. If it is NA_character_ (default), then the RNG kind will be chosen by rjags::rjags.
rng_seed: (number)
a Random Number Generator (RNG) seed used by rjags::rjags for a chosen rng_kind. It must be an integer scalar or NA_integer_, which means that the seed will be chosen by rjags::rjags.

Note

Typically, end users will not use the .DefaultMcmcOptions() function.

Examples

# Set up MCMC option in order to have a burn-in of 10000 iterations and
# then take every other iteration up to a collection of 10000 samples.
McmcOptions(burnin = 10000, step = 2, samples = 10000)
#> An object of class "McmcOptions"
#> Slot "iterations":
#> [1] 30000
#> 
#> Slot "burnin":
#> [1] 10000
#> 
#> Slot "step":
#> [1] 2
#> 
#> Slot "rng_kind":
#> [1] NA
#> 
#> Slot "rng_seed":
#> [1] NA
#>