update_beta: MCMC Second-Component Parameter Update Function for Hurdle...
In ebalderama/hurdlr: Zero-Inflated and Hurdle Modelling Using Bayesian Inference

Description Usage Arguments Value Author(s) See Also

MCMC algorithm for updating the second-component likelihood parameters in hurdle model regression using hurdle.

1 2	update_beta(y, x, hurd, dist, like.part, beta.prior.mean, beta.prior.sd, beta, XB, beta.acc, beta.tune, g.x = F)

`y`	numeric response vector of observations within the bounds of the second component of the likelihood function, y[0 < y \& y < hurd]
`x`	optional numeric predictor matrix for response observations within the bounds of the second component of the likelihood function, y[0 < y \& y < hurd].
`hurd`	numeric threshold for 'extreme' observations of two-hurdle models.
`dist`	character specification of response distribution for the third component of the likelihood function.
`like.part`	numeric vector of the current third-component likelihood values.
`beta.prior.mean`	mu parameter for normal prior distributions.
`beta.prior.sd`	standard deviation for normal prior distributions.
`beta`	numeric matrix of current regression coefficient parameter values.
`XB`	xbeta[,1]* product matrix for response observations within the bounds of the second component of the likelihood function, y[0 < y \& y < hurd].
`beta.acc`	numeric matrix of current MCMC acceptance rates for regression coefficient parameters.
`beta.tune`	numeric matrix of current MCMC tuning values for regression coefficient estimation.
`g.x`	logical operator. `TRUE` if operating within the third component of the likelihood function (the likelihood of 'extreme' observations).

A list of MCMC-updated regression coefficients for the estimation of the second-component likelihood parameter as well as each coefficient's MCMC acceptance ratio.

Taylor Trippe <ttrippe@luc.edu>
Earvin Balderama <ebalderama@luc.edu>

hurdle
dist_ll

ebalderama/hurdlr documentation built on June 5, 2020, 12:32 a.m.