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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.

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Install

install.packages('EditImputeCont')

Monthly Downloads

114

Version

1.1.6

License

GPL (>= 3)

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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