Imputation with the R Package VIM

Kowarik, Alexander; Templ, Matthias

doi:10.21256/zhaw-4233

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-4233

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	Imputation with the R Package VIM
Authors:	Kowarik, Alexander Templ, Matthias
DOI:	10.21256/zhaw-4233 10.18637/jss.v074.i07
Published in:	Journal of Statistical Software
Volume(Issue):	74
Issue:	7
Page(s):	1
Pages to:	16
Issue Date:	2016
Publisher / Ed. Institution:	UCLA, Dept. of Statistics
ISSN:	1548-7660
Language:	English
Subject (DDC):	005: Computer programming, programs and data
Abstract:	The package VIM is developed to explore and analyze the structure of missing values in data using visualization methods, to impute these missing values with the built-in imputation methods and to verify the imputation process using visualization tools, as well as to produce high-quality graphics for publications. This article focuses on the different imputation techniques available in the package. Four different imputation methods are currently implemented in VIM, namely hot-deck imputation, k-nearest neighbor imputation, regression imputation and iterative robust model-based imputation. All of these methods are implemented in a flexible manner with many options for customization. Furthermore in this article practical examples are provided to highlight the use of the implemented methods on real-world applications. In addition, the graphical user interface of VIM has been re-implemented from scratch resulting in the package VIMGUI to enable users without extensive R skills to access these imputation and visualization methods.
URI:	https://digitalcollection.zhaw.ch/handle/11475/5687
Fulltext version:	Published version
License (according to publishing contract):	CC BY 2.0: Attribution 2.0 Generic
Departement:	School of Engineering
Organisational Unit:	Institute of Data Analysis and Process Design (IDP)
Appears in collections:	Publikationen School of Engineering

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Kowarik, A., & Templ, M. (2016). Imputation with the R Package VIM. Journal of Statistical Software, 74(7), 1–16. https://doi.org/10.21256/zhaw-4233

Kowarik, A. and Templ, M. (2016) ‘Imputation with the R Package VIM’, Journal of Statistical Software, 74(7), pp. 1–16. Available at: https://doi.org/10.21256/zhaw-4233.

A. Kowarik and M. Templ, “Imputation with the R Package VIM,” Journal of Statistical Software, vol. 74, no. 7, pp. 1–16, 2016, doi: 10.21256/zhaw-4233.

KOWARIK, Alexander und Matthias TEMPL, 2016. Imputation with the R Package VIM. Journal of Statistical Software. 2016. Bd. 74, Nr. 7, S. 1–16. DOI 10.21256/zhaw-4233

Kowarik, Alexander, and Matthias Templ. 2016. “Imputation with the R Package VIM.” Journal of Statistical Software 74 (7): 1–16. https://doi.org/10.21256/zhaw-4233.

Kowarik, Alexander, and Matthias Templ. “Imputation with the R Package VIM.” Journal of Statistical Software, vol. 74, no. 7, 2016, pp. 1–16, https://doi.org/10.21256/zhaw-4233.