Modeling, Imputing and Generating Synthetic Versions of Nested Categorical Data in the Presence of Impossible Combinations

---

Documentation for package ‘NestedCategBayesImpute’ version 1.2.1

• DESCRIPTION file.
• Code demos. Use demo() to run them.

Help Pages

checkconstraints	Checking a data matrix of households for the possible/impossible status under a predefined set of structural zeros.
checkconstraints_HHhead_at_group_level	Checking a data matrix of households for the possible/impossible status under a predefined set of structural zeros.
checkSZ	The new implementation of checkconstraints and will evently replace checkconstraints.
checkSZ2	Michael: Edit here
GetImpossibleHouseholds	Generate the desired number of impossible households required to observe a given number of possible households.
groupcount	Generate 2D count table for two integer-valued vectors.
groupcount1D	Generate histogram count for an integer-valued vector.
households2individuals	Convert a household data matrix to the corresponding individual member data matrix.
initData	Initialize the input data structure.
initMissing	Initilize the misising data structure from input data
initOutput	Set the output structure for saving posterior samples of parameters.
initParameters	Initialize the model parameters for the MCMC.
RunModel	Run the mcmc sampler for the model.
sampleG	Update household (group) level latent class indexes.
samplehouseholds	Rcpp implementation for sampling household data without constraints.
sampleM	Update individual level latent class indexes.
SampleMissing	Sample and update missing data
UpdateAlpha	Update alpha.
UpdateBeta	Update beta.
UpdateLambda	Update lambda.
UpdateLambdaWeighted	Update lambda.
UpdateOmega	Update omega and v.
UpdateOmegaWeighted	Update omega and v.
UpdatePhi	Update phi.
UpdatePhiWeighted	Update phi.
UpdatePi	Update pi and u.
UpdatePiWeighted	Update pi and u.