McmcOptions: Constructor for class McmcOptions

In glmBfp: Bayesian Fractional Polynomials for GLMs

Description

Note that the argument samples is included for convenience only - you can specify it instead of iterations.

Usage

McmcOptions(
  iterations = as.integer(burnin + (step * samples)),
  burnin = 10000L,
  step = 10L,
  samples = 10000L
)

Arguments

iterations	number of MCMC iterations (default: 110,000)
burnin	number of burn-in iterations which are not saved (default: 10,000)
step	only every step-th iteration is saved after the burn-in (default: 10)
samples	number of resulting samples (by default 10,000 will result)

Value

the freshly built object of class McmcOptions

glmBfp documentation built on July 2, 2020, 2:30 a.m.