Rcpp_Lcm-class

<p>This is the Rcpp implementation of the model class Lcm. All exposed functions and properties are documented in Lcm.</p>

These routines create multiple imputations of missing at random categorical data, and create multiply imputed synthesis of categorical data, with or without structural zeros. Imputations and syntheses are based on Dirichlet process mixtures of multinomial distributions, which is a non-parametric Bayesian modeling approach that allows for flexible joint modeling, described in Manrique-Vallier and Reiter (2014) <doi:10.1080/10618600.2013.844700>.

Jingchen Hu

Rcpp_Lcm-class: Rcpp implemenation of the Lcm functions

Description

Arguments