initialise_hyper: Set up a DMC Sample for Multiple Participants

In TasCL/ggdmc: Dynamic Model of Choice with Parallel Computation, and C++ Capabilities

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

TasCL/ggdmc documentation built on May 9, 2019, 4:19 p.m.