Non-Parametric Bayesian Multiple Imputation for Categorical Data

Documentation for package ‘NPBayesImputeCat’ version 0.1

NPBayesImputeCat-package	Bayesian Multiple Imputation for Large-Scale Categorical Data with Structural Zeros
CreateModel	Create and initialize the Rcpp_Lcm model object
GetDataFrame	Convert imputed data to a dataframe, using the same setting from original input data.
GetMCZ	Convert disjointed structrual zeros to a dataframe, using the same setting from original structrual zero data.
Lcm	RCPP implemenation of the library
MCZ	Example dataframe for structrual zeros.
NPBayesImputeCat	Bayesian Multiple Imputation for Large-Scale Categorical Data with Structural Zeros
Rcpp_Lcm	RCPP implemenation of the library
Rcpp_Lcm-class	Class '"Rcpp_Lcm"'
UpdateX	Allow user to update the model with data matrix of same kind.
X	Example dataframe for input categorical data with missing values.