data_dep_prior_multi: Data Dependent Prior for Multinomial Distribution

In alexWhitworth/imputeMulti: Imputation Methods for Multivariate Multinomial Data

Data Dependent Prior for Multinomial Distribution

Description

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

Usage

data_dep_prior_multi(dat)

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

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alexWhitworth/imputeMulti documentation built on July 15, 2022, 7:02 p.m.