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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: 1.4.1
Depends: R (≥ 3.4.0)
Published: 2020-09-22
DOI: 10.32614/CRAN.package.FHDI
Author: Inho Cho [aut, cre], Jaekwang Kim [aut], Jongho Im [aut], Yicheng Yang [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

Documentation:

Reference manual: FHDI.pdf

Downloads:

Package source: FHDI_1.4.1.tar.gz
Windows binaries: r-devel: FHDI_1.4.1.zip, r-release: FHDI_1.4.1.zip, r-oldrel: FHDI_1.4.1.zip
macOS binaries: r-release (arm64): FHDI_1.4.1.tgz, r-oldrel (arm64): FHDI_1.4.1.tgz, r-release (x86_64): FHDI_1.4.1.tgz, r-oldrel (x86_64): FHDI_1.4.1.tgz
Old sources: FHDI archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.