sample_et_st: Sample environment process and state process of a subject

In zhifeiyan/WeibullHM: A Gibbs Sampler of a Bayesian Weibull Hidden Markov Model

Description

Produce a Gibbs sample of environment process and state process of a subject

Usage

sample_et_st(rt, wb_shape, wb_scale, p, q, e_stat, s_stat, ntrial, nstate, nenv)

Arguments

rt	a vector of response time sequence of a subject
wb_shape	current update of Weibull shape parameter
wb_scale	a vector of current update of Weibull scale parameters in all states
p	an array of current update of transition matrices of state process
q	a matrix of current update of transition matrix of environment process
e_stat	a vector of current update of stationary distribution of environment process
s_stat	a vector of current update of stationary distribution of state process
ntrial	total number of trials
nstate	total number of states
nenv	total number of environments

Value

A list with the following components:

et	a vector of Gibbs sample of environment process
st	a vector of Gibbs sample of state process

zhifeiyan/WeibullHM documentation built on May 4, 2019, 11:21 p.m.