PE: Extreme Count Probability Likelihood
In hurdlr: Zero-Inflated and Hurdle Modelling Using Bayesian Inference
Description
Usage
Arguments
Value
Author(s)
See Also
Description
PE is used to calculate the likelihood of a user-defined
'extreme' value count observation in a double-hurdle regression model.
Usage
1
Arguments
p
vector of zero-count probabilities.
q
vector of 'extreme' count probabilities.
log
logical operator. If TRUE, probabilities p
and q are given as log(p), log(q).
Value
A vector of probabilities.
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
PE is used to calculate the likelihood of a user-defined
'extreme' value count observation in a double-hurdle regression model.
Usage
1 |
Arguments
p |
vector of zero-count probabilities. |
q |
vector of 'extreme' count probabilities. |
log |
logical operator. If |
Value
A vector of probabilities.
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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