data_dep_prior_multi: Data Dependent Prior for Multinomial Distribution

Description Usage Arguments Value References See Also

View source: R/data_dep_prior_multi.R

Description

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

Usage

1

Arguments

dat

A data.frame. All variables must be factors

Value

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

References

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

See Also

expand.grid


imputeMulti documentation built on Dec. 11, 2021, 9:50 a.m.