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MMDai (version 1.2.0)

Multivariate Multinomial Distribution Approximation and Imputation for Incomplete Data

Description

Fit incomplete categorical data with infinite mixture of multinomial distribution (Dunson and Xing (2009) ). 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

250

Version

1.2.0

License

GPL (>= 2)

Maintainer

Chaojie Wang

Last Published

March 18th, 2017

Functions in MMDai (1.2.0)

InitialPsi

initial psi
JointTable

Generate joint distribution table
DBhattacharyya

Bhattacharyya distance
SampleJointTable

Sample joint distribution table
Classification

Classification
Correlation

Correlation estimation
JointTableEst

Joint distribution table estimation This function is used to esitmate joint distribution table based on theta and psi
MatrixToFactor

Matrix To Factor
FisherTest

Fisher exact test
FactorToMatrix

Factor To Matrix
ChiSquareTest

Chi-Square test
ParEst

Estimate theta and psi in multinomial mixture model
GenerateData

Generate random dataset
Imputation

Imputation
SignTest

Sign test
kIdentifier

Identify the number of components k
MovieRate

Real application dataset
MutualInfo

mutual information