Rcpp_Lcm


<a rd-options="" href="/link/Rcpp_Lcm-class?package=NPBayesImpute&version=0.6" data-mini-rdoc="NPBayesImpute::Rcpp_Lcm-class">Rcpp_Lcm-class</a>


These routines create multiple imputations of missing at random categorical data, with or without structural zeros. Imputations are based on Dirichlet process mixtures of multinomial distributions, which is a non-parametric Bayesian modeling approach that allows for flexible joint modeling.

Quanli Wang

NPBayesImpute

Non-Parametric Bayesian Multiple Imputation for Categorical Data

Rcpp_Lcm function


<a rd-options='' href='Rcpp_Lcm-class'>Rcpp_Lcm-class</a>


The Learning Leader's Guide to AI Literacy

Rcpp_Lcm: RCPP implemenation of the library

Description

Arguments