ggdmc (version 0.1.3.9)

initialise_hyper: Set up a DMC Sample for Multiple Participants

Description

This is C++ function to initialse a DMC sample with multiple participants. The user usually should not directly use it.

Usage

initialise_hyper(nmc, pList = NULL, data = NULL, samples = NULL,
  theta1 = NULL, startPList = NULL, phi1 = NULL, ppList = NULL,
  hStartPList = NULL, setting = NULL)

Arguments

nmc

number of Markov Chain Monte Carlo iteration

pList

prior distribution setting. This is R's p.prior

data

a model data instance created by data.model.dmc

samples

a DMC posterior sample

theta1

A user supplied initial theta cube

startPList

A user supplied (different) prior distribution setting. This is R's start.prior.

phi1

A user supplied initial phi cube

ppList

prior distribution setting, hyper level

hStartPList

A user supplied (different) hyper-prior distribution setting

setting

a list container to store all DMC setting