data_dep_prior_multi function

Data Dependent Prior for Multinomial Distribution

Creates a data depedent prior for p-dimensional multinomial distributions using a conjugate prior (eg $Dirichlet(\alpha)$) based on 20

data_dep_prior_multi(dat)

Arguments

• dat: A data.frame. All variables must be factors

Returns

A data.frame containing identifiers for all possible $P(Y=y)$ and the associated prior-counts, $\alpha$

References

Darnieder, William Francis. Bayesian methods for data-dependent priors. Dissertation. The Ohio State University, 2011.

See Also

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