Learn R Programming

EditImputeCont (version 1.1.6)

Simultaneous Edit-Imputation for Continuous Microdata

Description

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) . 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.

Copy Link

Version

Install

install.packages('EditImputeCont')

Monthly Downloads

72

Version

1.1.6

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Maintainer

Last Published

March 3rd, 2020

Functions in EditImputeCont (1.1.6)

multipleEI

Generate Multiple Edit-imputed Datasets
readData

Read Data and Edit Rules
bei

RCPP Implementation of the Library
createModel

Create and Initialize the Rcpp_bei Model Object
EditImputeCont-package

Simultaneous Edit-Imputation for Continuous Microdata Package
NestedEx

Data Example With 11 Variables
SimpleEx

Simple Data Example With Four Variables
Rcpp_bei-class

Class "Rcpp_bei"
scatterPlot

Draw Scatter Plots of Edited Dataset