inverse.chisq: Define an inverse gamma prior distribution
In bayesforecast: Bayesian Time Series Modeling with Stan

inverse.chisq(df)

1	inverse.chisq(df = 7)

`df`	the degree freedom parameter df

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.

a numerical vector interpreted as a prior in Stan

bayesforecast documentation built on June 17, 2021, 5:14 p.m.

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