ll.invGauss: Inverse-Gaussian Log-likelihood
In MixedPoisson: Mixed Poisson Models
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
The function returns the value of log-likelihood function for of inverse-Gaussian distribution with one parameter δ.
Usage
1
ll.invGauss(delta, t)
Arguments
delta
δ parameter
t
the vector of values
Details
The pdf of inverse-Gaussian is of the form
f_θ(θ)=\frac{δ}{2π}\exp(δ^2)θ^{-\frac{3}{2}} \exp(-\frac{δ^2}{2}(\frac{1}{θ}+θ))
Value
ll.invGauss
the value
Author(s)
Michal Trzesiok
Examples
1
ll.invGauss(1, c(3,8))
MixedPoisson documentation built on May 2, 2019, 12:40 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
The function returns the value of log-likelihood function for of inverse-Gaussian distribution with one parameter δ.
Usage
1 | ll.invGauss(delta, t)
|
Arguments
delta |
δ parameter |
t |
the vector of values |
Details
The pdf of inverse-Gaussian is of the form f_θ(θ)=\frac{δ}{2π}\exp(δ^2)θ^{-\frac{3}{2}} \exp(-\frac{δ^2}{2}(\frac{1}{θ}+θ))
Value
ll.invGauss |
the value |
Author(s)
Michal Trzesiok
Examples
1 | ll.invGauss(1, c(3,8))
|
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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