MMDai: Multivariate Multinomial Distribution Approximation and Imputation for Incomplete Data

Fit incomplete multinomial data by mixture multinomial distribution approximation (Dunson and Xing (2009) <DOI:10.1198/jasa.2009.tm08439>). Estimate latent joint distribution by slice Gibbs sampler (Walker (2007) <DOI:10.1080/03610910601096262>). Perform efficient missing data imputation and other statistical inference based on joint distribution estimation.

Author
Chaojie Wang
Date of publication
2016-09-14 18:50:40
Maintainer
Chaojie Wang <wang910930@163.com>
License
GPL (>= 2)
Version
0.1.0

View on CRAN

Man pages

CompleteData
This is an example for complete dataset
FinMix
Finite k components and multiple m trials
generateData
Generate random mixture multinomial dataset
Imputation
Imputation
IncompleteData
This is an example for incomplete dataset
JointDistribution
Joint distribution
k_identifier
Identify the number of components k
MatrixToArray
Matrix To Array

Files in this package

MMDai
MMDai/NAMESPACE
MMDai/data
MMDai/data/IncompleteData.rda
MMDai/data/CompleteData.rda
MMDai/R
MMDai/R/MatrixToArray.R
MMDai/R/Imputation.R
MMDai/R/generateData.R
MMDai/R/k_identifier.R
MMDai/R/JointDistribution.R
MMDai/R/CompleteData.R
MMDai/R/FinMix.R
MMDai/R/IncompleteData.R
MMDai/MD5
MMDai/DESCRIPTION
MMDai/man
MMDai/man/IncompleteData.Rd
MMDai/man/CompleteData.Rd
MMDai/man/k_identifier.Rd
MMDai/man/FinMix.Rd
MMDai/man/Imputation.Rd
MMDai/man/generateData.Rd
MMDai/man/MatrixToArray.Rd
MMDai/man/JointDistribution.Rd