samplehouseholds: Rcpp implementation for sampling household data without...

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

Description

Rcpp implementation for sampling household data without constraints.

Usage

samplehouseholds(phi, omega, pi, d, lambda, currrentbatch, nHouseholds, householdsize,
      HeadAtGroupLevel, Parallel)

Arguments

phi	Matrix of posterior samples for the individual-level probabilities for each individual-level variable by each pair of group-level and individual-level latent classes.
omega	Matrix of the probabilities for the individual-level latent classes by the group-level latent classes.
pi	Vector of the probabilities for the group-level latent classes.
d	Vector containing the number of levels for each of the indiviual-level variables.
lambda	A list of matrices of the group-level probabilities for each group-level variable by the group-level latent classes. Each matrix in the list is for each group-level variable.
currrentbatch	The current batch number for the household data to be generated. The household ID will be generated based on this batch number.
nHouseholds	The number of households to be generated by one call to this function.
householdsize	The size of the households to be generated.
HeadAtGroupLevel	Logical indicator for running the model that codes household head at the group level.
Parallel	Logical indicator for running the function in parallel mode.

Details

This function allows the model to generate a batch of nHouseholds with each household of size householdsize. The generated household data will include both possible and impossible households. Use samplehouseholds when the household head is included as an individual within the household.

Value

A data matrix with each row for one household.

Author(s)

Quanli Wang

NestedCategBayesImpute documentation built on May 2, 2019, 3:26 p.m.