inverse.chisq: Define an inverse gamma prior distribution
In bayesforecast: Bayesian Time Series Modeling with Stan
inverse.chisq R Documentation
Define an inverse gamma prior distribution
Description
inverse.chisq(df)
Usage
inverse.chisq(df = 7)
Arguments
df
the degree freedom parameter df
Details
Define a inverse chi square prior distribution using the hyper parameter
df, by default an inverse.chisq(df = 2) distribution is return.
If sigma has a chi square distribution then 1/sigma has n inverse chi square
distribution.
Value
a numerical vector interpreted as a prior in Stan
bayesforecast documentation built on June 8, 2025, 10:42 a.m.
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| inverse.chisq | R Documentation |
Define an inverse gamma prior distribution
Description
inverse.chisq(df)
Usage
inverse.chisq(df = 7)
Arguments
df |
the degree freedom parameter df |
Details
Define a inverse chi square prior distribution using the hyper parameter df, by default an inverse.chisq(df = 2) distribution is return.
If sigma has a chi square distribution then 1/sigma has n inverse chi square distribution.
Value
a numerical vector interpreted as a prior in Stan
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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