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Volumn 74, Issue , 2016, Pages

Imputation with the R package VIM

Author keywords

Imputation methods; Missing values; R

Indexed keywords


EID: 84992476986     PISSN: 15487660     EISSN: None     Source Type: Journal    
DOI: 10.18637/jss.v074.i07     Document Type: Article
Times cited : (424)

References (38)
  • 1
    • 84884265970 scopus 로고    scopus 로고
    • Estimation of Social Exclusion Indicators from Complex Surveys: The R Package laeken
    • Alfons A, Templ M (2013). “Estimation of Social Exclusion Indicators from Complex Surveys: The R Package laeken.” Journal of Statistical Software, 54(15), 1-25. doi:10.18637/jss. v054.i15.
    • (2013) Journal of Statistical Software , vol.54 , Issue.15 , pp. 1-25
    • Alfons, A.1    Templ, M.2
  • 2
    • 78650560100 scopus 로고    scopus 로고
    • An Object-Oriented Framework for Statistical Simulation: The R Package simFrame
    • Alfons A, Templ M, Filzmoser P (2010). “An Object-Oriented Framework for Statistical Simulation: The R Package simFrame.” Journal of Statistical Software, 37(3), 1-36. doi: 10.18637/jss.v037.i03.
    • (2010) Journal of Statistical Software , vol.37 , Issue.3 , pp. 1-36
    • Alfons, A.1    Templ, M.2    Filzmoser, P.3
  • 3
    • 40549143397 scopus 로고    scopus 로고
    • YaImpute: An R Package for kNN Imputation
    • Crookston NL, Finley AO (2008). “yaImpute: An R Package for kNN Imputation.” Journal of Statistical Software, 23(10), 1-16. doi:10.18637/jss.v023.i10.
    • (2008) Journal of Statistical Software , vol.23 , Issue.10 , pp. 1-16
    • Crookston, N.L.1    Finley, A.O.2
  • 6
    • 0000238915 scopus 로고
    • An Overview of Hot-Deck Procedures
    • Ford BL (1983). “An Overview of Hot-Deck Procedures.” Incomplete Data in Sample Surveys, 2(Part 4), 185-207.
    • (1983) Incomplete Data in Sample Surveys , vol.2 , pp. 185-207
    • Ford, B.L.1
  • 7
    • 33646712883 scopus 로고    scopus 로고
    • Hot Deck Imputation for the Response Model
    • Fuller WA, Kim JK (2005). “Hot Deck Imputation for the Response Model.” Survey Methodology, 31(2), 139.
    • (2005) Survey Methodology , vol.31 , Issue.2 , pp. 139
    • Fuller, W.A.1    Kim, J.K.2
  • 9
    • 0001330098 scopus 로고
    • A General Coefficient of Similarity and Some of Its Properties
    • Gower JC (1971). “A General Coefficient of Similarity and Some of Its Properties.” Biometrics, pp. 857-871. doi:10.2307/2528823.
    • (1971) Biometrics , pp. 857-871
    • Gower, J.C.1
  • 10
    • 84954115324 scopus 로고    scopus 로고
    • R package version 3.16-0
    • Harrell F (2015). Hmisc: Harrell Miscellaneous. R package version 3.16-0, URL https://CRAN.R-project.org/package=Hmisc.
    • (2015) Hmisc: Harrell Miscellaneous
    • Harrell, F.1
  • 12
    • 35148857674 scopus 로고    scopus 로고
    • Missing Data Imputation, Matching and Other Applications of Random Recursive Partitioning
    • Iacus S, Porro G (2007). “Missing Data Imputation, Matching and Other Applications of Random Recursive Partitioning.” Computational Statistics and Data Analysis, 52(2), 773-789. doi:10.1016/j.csda.2006.12.036.
    • (2007) Computational Statistics and Data Analysis , vol.52 , Issue.2 , pp. 773-789
    • Iacus, S.1    Porro, G.2
  • 13
    • 79952459161 scopus 로고    scopus 로고
    • IBM Corporation, Armonk, NY
    • IBM Corporation (2015). IBM SPSS Statistics 23. IBM Corporation, Armonk, NY. URL http://www.ibm.com/software/analytics/spss/.
    • (2015) IBM SPSS Statistics 23
  • 18
    • 4544228988 scopus 로고    scopus 로고
    • Analysis of Complex Survey Samples
    • Lumley T (2004). “Analysis of Complex Survey Samples.” Journal of Statistical Software, 9(8), 1-19. doi:10.18637/jss.v009.i08.
    • (2004) Journal of Statistical Software , vol.9 , Issue.8 , pp. 1-19
    • Lumley, T.1
  • 21
    • 84859400651 scopus 로고    scopus 로고
    • Goodbye, Listwise Deletion: Presenting Hot Deck Imputation as an Easy and Effective Tool for Handling Missing Data
    • Myers TA (2011). “Goodbye, Listwise Deletion: Presenting Hot Deck Imputation as an Easy and Effective Tool for Handling Missing Data.” Communication Methods and Measures, 5(4), 297-310. doi:10.1080/19312458.2011.624490.
    • (2011) Communication Methods and Measures , vol.5 , Issue.4 , pp. 297-310
    • Myers, T.A.1
  • 23
    • 78650022883 scopus 로고    scopus 로고
    • Research Triangle Institute, Research Triangle Park, NC
    • Research Triangle Institute (2008). SUDAAN Release 10.0. Research Triangle Institute, Research Triangle Park, NC. URL http://www.rti.org/sudaan/.
    • (2008) SUDAAN Release 10.0
  • 27
    • 0003881789 scopus 로고    scopus 로고
    • Version 9.4. SAS Institute Inc., Cary, NC
    • SAS Institute Inc (2013). The SAS System, Version 9.4. SAS Institute Inc., Cary, NC. URL http://www.sas.com/.
    • (2013) The SAS System
  • 30
    • 46649110768 scopus 로고    scopus 로고
    • A Markov Chain Monte Carlo Algorithm for Multiple Imputation in Large Surveys
    • Schunk D (2008). “A Markov Chain Monte Carlo Algorithm for Multiple Imputation in Large Surveys.” AStA Advances in Statistical Analysis, 92(1), 101-114. doi:10.1007/ s10182-008-0053-6.
    • (2008) Asta Advances in Statistical Analysis , vol.92 , Issue.1 , pp. 101-114
    • Schunk, D.1
  • 32
    • 84855177476 scopus 로고    scopus 로고
    • MissForest-Non-Parametric Missing Value Imputation for Mixed-Type Data
    • Stekhoven D, Bühlmann P (2012). “MissForest-Non-Parametric Missing Value Imputation for Mixed-Type Data.” Bioinformatics, 28(1), 112-118. doi:10.1093/bioinformatics/ btr597.
    • (2012) Bioinformatics , vol.28 , Issue.1 , pp. 112-118
    • Stekhoven, D.1    Bühlmann, P.2
  • 33
    • 84863414529 scopus 로고    scopus 로고
    • Multiple Imputation with Diagnostics (Mi) in R: Opening Windows into the Black Box
    • Su YS, Gelman A, Hill J, Yajima M (2011). “Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box.” Journal of Statistical Software, 45(2), 1-31. doi:10.18637/jss.v045.i02.
    • (2011) Journal of Statistical Software , vol.45 , Issue.2 , pp. 1-31
    • Su, Y.S.1    Gelman, A.2    Hill, J.3    Yajima, M.4
  • 36
    • 79958115597 scopus 로고    scopus 로고
    • Iterative Stepwise Regression Imputation Using Standard and Robust Methods
    • Templ M, Kowarik A, Filzmoser P (2011). “Iterative Stepwise Regression Imputation Using Standard and Robust Methods.” Computational Statistics and Data Analysis, 55(10), 2793-2806. doi:10.1016/j.csda.2011.04.012.
    • (2011) Computational Statistics and Data Analysis , vol.55 , Issue.10 , pp. 2793-2806
    • Templ, M.1    Kowarik, A.2    Filzmoser, P.3
  • 37
    • 79953732420 scopus 로고    scopus 로고
    • Mice: Multivariate Imputation by Chained Equations in R
    • van Buuren S, Groothuis-Oudshoorn K (2011). “mice: Multivariate Imputation by Chained Equations in R.” Journal of Statistical Software, 45(3), 1-67. doi:10.18637/jss.v045. i03.
    • (2011) Journal of Statistical Software , vol.45 , Issue.3 , pp. 1-67
    • Van Buuren, S.1    Groothuis-Oudshoorn, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.