FHDI: Fractional Hot Deck and Fully Efficient Fractional Imputation

Impute general multivariate missing data with the fractional hot deck imputation based on Jaekwang Kim (2011) <doi:10.1093/biomet/asq073>.

Version: 1.2.5
Depends: R (≥ 3.4.0)
Published: 2018-04-26
Author: Jongho Im [aut], Inho Cho [aut, cre], Jaekwang Kim [aut]
Maintainer: Inho Cho <icho at iastate.edu>
BugReports: https://sites.google.com/site/ichoddcse2017/home/type-of-trainings/r-package-fhdi
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.r-project.org, https://sites.google.com/view/jaekwangkim/software
NeedsCompilation: yes
In views: MissingData
CRAN checks: FHDI results

Downloads:

Reference manual: FHDI.pdf
Package source: FHDI_1.2.5.tar.gz
Windows binaries: r-devel: FHDI_1.2.5.zip, r-release: FHDI_1.2.5.zip, r-oldrel: FHDI_1.2.5.zip
OS X binaries: r-release: FHDI_1.2.5.tgz, r-oldrel: FHDI_1.2.5.tgz
Old sources: FHDI archive

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