BayesInfo: Input parameters about MCMC sampler

In CChen89/demodel: Models for Early Phase Dose Escalation Trial

Description

Input parameters about MCMC sampler

Usage

BayesInfo(
  MCMCpackage = "rjags",
  prior = NULL,
  init.list = NULL,
  n.sample = 10000,
  n.burnin = 2000,
  n.adapt = 2000,
  n.thin = 1,
  n.chain = 2
)

Arguments

MCMCpackage	A string indicating which packages will be used. Currently, tested for rjags.
prior	A named list of vectors. First element, 'mean' a vector of mean values of logα and β. See details.
init.list	A named list. See jags.model for more information.
n.sample	A integer or numeric value. The number of MCMC samples retains. See jags.model for more information.
n.burnin	A integer or numeric value. The number of MCMC samples burned. See jags.model for more information.
n.adapt	A integer or numeric value. See jags.model for more information.
n.thin	A integer or numeric value. See jags.model for more information.
n.chain	A integer or numeric value. See jags.model for more information.

Value

A named list

Examples

## Not run: 
  Bayes.Info <- BayesInfo(MCMCpackage = "rjags",
                          prior = list(mean = list(c(-1.7346, 0)),
                                       std = list(c(2, 1)),
                                       corr = list(0)),
                          init.list = list(list(paras1 = c(-3, 0), .RNG.seed = 1, .RNG.name="base::Wichmann-Hill"),
                                           list(paras1 = c(-3, 0), .RNG.seed = 2, .RNG.name="base::Wichmann-Hill")),
                          n.sample = 10000,
                          n.burn = 2000,
                          n.adapt = 1000,
                          n.chain = 2,
                          n.thin = 1)

## End(Not run)

CChen89/demodel documentation built on Dec. 17, 2021, 12:52 p.m.