pr_gig: Create an object representing Generalised Inverse Gaussian...
In mcmcsae: Markov Chain Monte Carlo Small Area Estimation
pr_gig R Documentation
Create an object representing Generalised Inverse Gaussian (GIG) prior distributions
Description
Create an object representing Generalised Inverse Gaussian (GIG) prior distributions
Usage
pr_gig(a, b, p)
Arguments
a
scalar or vector parameter.
b
scalar or vector parameter.
p
scalar or vector parameter.
Value
An environment representing the specified prior, for internal use.
mcmcsae documentation built on June 8, 2025, 10:55 a.m.
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| pr_gig | R Documentation |
Create an object representing Generalised Inverse Gaussian (GIG) prior distributions
Description
Create an object representing Generalised Inverse Gaussian (GIG) prior distributions
Usage
pr_gig(a, b, p)
Arguments
a |
scalar or vector parameter. |
b |
scalar or vector parameter. |
p |
scalar or vector parameter. |
Value
An environment representing the specified prior, for internal use.
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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