createModel

<code><a rd-options="" href="/link/EditIn.data?package=EditImputeCont&version=1.1.6" data-mini-rdoc="EditImputeCont::EditIn.data">EditIn.data</a></code> object generated from <code><a rd-options="" href="/link/readData?package=EditImputeCont&version=1.1.6" data-mini-rdoc="EditImputeCont::readData">readData</a></code>.

data.obj

maximum number of DP mixture components.

createModel creates and initializes an <code><a rd-options="" href="/link/Rcpp_bei?package=EditImputeCont&version=1.1.6" data-mini-rdoc="EditImputeCont::Rcpp_bei">Rcpp_bei</a></code> object.

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

createModel function

<code><a rd-options='' href='EditIn.data'>EditIn.data</a></code> object generated from <code><a rd-options='' href='readData'>readData</a></code>.

createModel creates and initializes an <code><a rd-options='' href='Rcpp_bei'>Rcpp_bei</a></code> object.

createModel: Create and Initialize the Rcpp_bei Model Object

Description

Usage

Arguments

Value

See Also