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MMDai (version 0.1.0)

Multivariate Multinomial Distribution Approximation and Imputation for Incomplete Data

Description

Fit incomplete multinomial data by mixture multinomial distribution approximation (Dunson and Xing (2009) ). Estimate latent joint distribution by slice Gibbs sampler (Walker (2007) ). Perform efficient missing data imputation and other statistical inference based on joint distribution estimation.

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Version

Install

install.packages('MMDai')

Monthly Downloads

184

Version

0.1.0

License

GPL (>= 2)

Maintainer

Chaojie Wang

Last Published

September 14th, 2016

Functions in MMDai (0.1.0)

FinMix

Finite k components and multiple m trials
JointDistribution

Joint distribution
Imputation

Imputation
generateData

Generate random mixture multinomial dataset
CompleteData

This is an example for complete dataset
IncompleteData

This is an example for incomplete dataset
k_identifier

Identify the number of components k
MatrixToArray

Matrix To Array