<p><code><a rd-options="" href="/link/Rcpp_bei-class?package=EditImputeCont&version=1.1.6" data-mini-rdoc="EditImputeCont::Rcpp_bei-class">Rcpp_bei-class</a></code></p>

An integrated editing and imputation method for continuous microdata under linear constraints is implemented. It relies on a Bayesian nonparametric hierarchical modeling approach as described in Kim et al. (2015) <doi:10.1080/01621459.2015.1040881>. In this approach, the joint distribution of the data is estimated by a flexible joint probability model. The generated edit-imputed data are guaranteed to satisfy all imposed edit rules, whose types include ratio edits, balance edits and range restrictions.

Hang Kim

EditImputeCont

Simultaneous Edit-Imputation for Continuous Microdata

bei function

<p><code><a rd-options='' href='Rcpp_bei-class'>Rcpp_bei-class</a></code></p>

bei: RCPP Implementation of the Library

Description

Arguments