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>.

Package details

AuthorInho Cho [aut, cre], Jaekwang Kim [aut], Jongho Im [aut], Yicheng Yang [aut]
MaintainerInho Cho <icho@iastate.edu>
LicenseGPL (>= 2)
Version1.4.1
URL https://www.r-project.org https://sites.google.com/view/jaekwangkim/software
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("FHDI")

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FHDI documentation built on Oct. 23, 2020, 7:12 p.m.