lldpo: Negative log-likelihood function from Double Poisson model
In jreduardo/flexcm: Flexible Models for Dispersed Count Data
Description
Usage
Arguments
Value
Author(s)
Description
TODO: write the likelihood function.
Usage
1
lldpo(params, X, y)
Arguments
params
vector of model parameters.
X
Design matrix related to the mean parameter μ =
\exp(X β).
y
Vector of observed count data.
Value
The computed negative log-likelihood function.
Author(s)
Eduardo Jr <edujrrib@gmail.com>
jreduardo/flexcm documentation built on May 8, 2019, 12:41 p.m.
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Description Usage Arguments Value Author(s)
Description
TODO: write the likelihood function.
Usage
1 | lldpo(params, X, y)
|
Arguments
params |
vector of model parameters. |
X |
Design matrix related to the mean parameter μ = \exp(X β). |
y |
Vector of observed count data. |
Value
The computed negative log-likelihood function.
Author(s)
Eduardo Jr <edujrrib@gmail.com>
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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