loglik_zip: Zero-inflated Poisson Data Likelihood
In hurdlr: Zero-Inflated and Hurdle Modelling Using Bayesian Inference
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Data likelihood fuction for zero-inflated Poisson model
regression using zero_poisson.
Usage
1
loglik_zip(y, z, lam, 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.
lam
current value for the Poisson likelihood lambda parameter.
p
vector of 'extra' zero-count probabilities.
Value
The log-likelihood of the zero-inflated Poisson fit for the
current iteration of the MCMC algorithm.
Author(s)
Taylor Trippe <ttrippe@luc.edu>
Earvin Balderama <ebalderama@luc.edu>
See Also
hurdlr documentation built on May 2, 2019, 3:19 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
Data likelihood fuction for zero-inflated Poisson model
regression using zero_poisson.
Usage
1 | loglik_zip(y, z, lam, p)
|
Arguments
y |
numeric response vector. |
z |
vector of binary operators. |
lam |
current value for the Poisson likelihood lambda parameter. |
p |
vector of 'extra' zero-count probabilities. |
Value
The log-likelihood of the zero-inflated Poisson fit for the current iteration of the MCMC algorithm.
Author(s)
Taylor Trippe <ttrippe@luc.edu>
Earvin Balderama <ebalderama@luc.edu>
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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