data_dep_prior_multi: Data Dependent Prior for Multinomial Distribution
Description
Creates a data depedent prior for p-dimensional multinomial distributions
using a conjugate prior (eg \(Dirichlet(\alpha)\)) based on 20
Usage
data_dep_prior_multi(dat)
Value
A data.frame
containing identifiers for all possible \(P(Y=y)\) and
the associated prior-counts, \(\alpha\)
Arguments
- dat
A data.frame
. All variables must be factors
References
Darnieder, William Francis. Bayesian methods for data-dependent priors.
Dissertation. The Ohio State University, 2011.