GetMCZ:
Convert disjointed structrual zeros to a dataframe, using the same setting from original structrual zero data.
Description
This is a utility function to convert the disjointed structrual zero matrix to a dataframe. This function will be implemented as a RCPP internal function later on.
Usage
GetMCZ(dest, from, mcz, cols = 1:NCOL(from))
Arguments
dest
the output data matrix for disjointed structrual zeros.
from
the original input dataframe.
mcz
the original input dataframe for structrual zeros.
cols
optinal. Always use default for now.
Value
The returned dataframe object for disjointed structrual zeros.
References
Manrique-Vallier, D. and Reiter, J.P. (2013), "Bayesian Estimation of Discrete Multivariate Latent Structure Models with Structural Zeros", JCGS.
Si, Y. and Reiter, J.P. (2013), "Nonparametric Bayesian multiple imputation for incomplete categorical variables in large-scale assessment surveys", Journal of Educational and Behavioral Statistics, 38, 499 - 521
Manrique-Vallier, D. and Reiter, J.P. (2014), "Bayesian Multiple Imputation for Large-Scale Categorical Data with Structural Zeros", Survey Methodology.