ForImp-package: Forward Imputation

In ForImp: Imputation of Missing Values Through a Forward Imputation Algorithm

Description

The package contains a function for the imputation of missing values in matrices of ordinal data, called Forward Imputation, and other functions for generating ordinal data or imputing missing values.

Details

Package:	ForImp
Type:	Package
Version:	1.0
Date:	2013-01-30
License:	GPL
LazyLoad:	yes

Author(s)

Alessandro Barbiero<[e-mail]>,
Giancarlo Manzi<[e-mail]>,
Pier Alda Ferrari<[e-mail]>

Maintainer: Alessandro Barbiero<[e-mail]>

References

Ferrari P.A., Annoni P., Barbiero A., Manzi G. (2011) An imputation method for categorical variables with application to nonlinear principal component analysis, Computational Statistics & Data Analysis, vol. 55, issue 7, pages 2410-2420
http://ideas.repec.org/a/eee/csdana/v55y2011i7p2410-2420.html
http://www.sciencedirect.com/science/article/pii/S0167947311000521

Ferrari P.A., Barbiero A., Manzi G.: Handling missing data in presence of ordinal variables: a new imputation procedure. In "New Perspectives in Statistical Modeling and Data Analysis", S. Ingrassia, R. Rocci, M. Vichi, Eds., Springer, 2011

Little, R.J.A., Rubin, D.B., 2002. Statistical Analysis with Missing Data, 2nd ed. John Wiley & Sons, Inc.

ForImp documentation built on May 2, 2019, 8:17 a.m.