sample_log_shape: Sample Weibull log shape parameter
In zhifeiyan/WeibullHM: A Gibbs Sampler of a Bayesian Weibull Hidden Markov Model

Description Usage Arguments Value

Produce a Gibbs sample of Weibull log shape parameter of a subject

1	sample_log_shape(rt, st, y, eta, prior_mu, prior_sigma, proposal_std, nstate)

`rt`	a vector of response time sequence of a subject
`st`	a vector of current update of state process of a subject
`y`	a vector of current values of Weibull log scale parameters in all states
`eta`	current value of Weibull log shape parameter of a subject
`prior_mu`	mean of normal prior distribution of Weibull log shape parameter
`prior_sigma`	standard deviation of normal prior distribution of Weibull log shape parameter
`proposal_std`	random walk proposal standard deviation
`nstate`	total number of states

A vector whose first element is a Gibbs sample and second element is a binary indicator value of acceptance or rejection of the proposed sample in random walk Metropolis–Hastings algorithm

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