loglik_zinb: Zero-inflated Negative Binomial Data Likelihood

In hurdlr: Zero-Inflated and Hurdle Modelling Using Bayesian Inference

Description

Data likelihood fuction for zero-inflated negative binomial model regression using zero_nb.

Usage

loglik_zinb(y, z, mu, size, p)

Arguments

y	numeric response vector.
z	vector of binary operators. z == 0 for observations considered belnging to the negative binomial distribution, z == 1 for observations considered to be 'extra' zeros.
mu	current value for the negative binomial likelihood mu parameter.
size	size parameter for negative binomial distribution.
p	vector of 'extra' zero-count probabilities.

Value

The log-likelihood of the zero-inflated negative binomial fit for the current iteration of the MCMC algorithm.

Author(s)

Taylor Trippe <[e-mail]>
Earvin Balderama <[e-mail]>

See Also

zero_nb

hurdlr documentation built on May 2, 2019, 3:19 p.m.