GenForImp: The Forward Imputation: A Sequential Distance-Based Approach for Imputing Missing Data
Version 1.0

Two methods based on the Forward Imputation approach are implemented for the imputation of quantitative missing data. One method alternates Nearest Neighbour Imputation and Principal Component Analysis (function 'ForImp.PCA'), the other uses Nearest Neighbour Imputation with the Mahalanobis distance (function 'ForImp.Mahala').

AuthorNadia Solaro, Alessandro Barbiero, Giancarlo Manzi, Pier Alda Ferrari
Date of publication2015-02-27 19:31:42
MaintainerAlessandro Barbiero <alessandro.barbiero@unimi.it>
LicenseGPL-3
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("GenForImp")

Getting started

Package overview

Popular man pages

ForImp.Mahala: Imputation of missing data by using Nearest Neighbour...
ForImp.PCA: Imputation of missing data by alternating Nearest Neighbour...
GenForImp-package: The Forward Imputation: A Sequential Distance-Based Approach...
missing.gen: Generating random missing values on a data matrix
missing.gen0: Generating random missing values on a data matrix
See all...

All man pages Function index File listing

Man pages

ForImp.Mahala: Imputation of missing data by using Nearest Neighbour...
ForImp.PCA: Imputation of missing data by alternating Nearest Neighbour...
GenForImp-package: The Forward Imputation: A Sequential Distance-Based Approach...
missing.gen: Generating random missing values on a data matrix
missing.gen0: Generating random missing values on a data matrix

Functions

ForImp.Mahala Man page Source code
ForImp.PCA Man page Source code
GenForImp-package Man page
missing.gen Man page Source code
missing.gen0 Man page Source code

Files

NAMESPACE
R
R/ForImp.Mahala.R
R/missing.gen.R
R/ForImp.PCA.R
R/missing.gen0.R
MD5
DESCRIPTION
man
man/missing.gen0.Rd
man/missing.gen.Rd
man/GenForImp-package.Rd
man/ForImp.PCA.Rd
man/ForImp.Mahala.Rd
GenForImp documentation built on May 20, 2017, 3:14 a.m.

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