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mdgc: Missing Data Imputation Using Gaussian Copulas

Provides functions to impute missing values using Gaussian copulas for mixed data types as described by Christoffersen et al. (2021) <doi:10.48550/arXiv.2102.02642>. The method is related to Hoff (2007) <doi:10.1214/07-AOAS107> and Zhao and Udell (2019) <doi:10.48550/arXiv.1910.12845> but differs by making a direct approximation of the log marginal likelihood using an extended version of the Fortran code created by Genz and Bretz (2002) <doi:10.1198/106186002394> in addition to also support multinomial variables.

Version:0.1.7
Depends:R (≥ 3.5.0)
Imports:Rcpp
LinkingTo:Rcpp,RcppArmadillo,testthat,BH,psqn
Suggests:testthat,catdata
Published:2023-05-04
DOI:10.32614/CRAN.package.mdgc
Author:Benjamin ChristoffersenORCID iD [cre, aut], Alan Genz [cph], Frank Bretz [cph], Torsten Hothorn [cph], R-core [cph], Ross Ihaka [cph]
Maintainer:Benjamin Christoffersen <boennecd at gmail.com>
BugReports:https://github.com/boennecd/mdgc/issues
License:GPL-2
URL:https://github.com/boennecd/mdgc
NeedsCompilation:yes
Materials:NEWS
In views:MissingData
CRAN checks:mdgc results

Documentation:

Reference manual:mdgc.html ,mdgc.pdf

Downloads:

Package source: mdgc_0.1.7.tar.gz
Windows binaries: r-devel:mdgc_0.1.7.zip, r-release:mdgc_0.1.7.zip, r-oldrel:mdgc_0.1.7.zip
macOS binaries: r-release (arm64):mdgc_0.1.7.tgz, r-oldrel (arm64):mdgc_0.1.7.tgz, r-release (x86_64):mdgc_0.1.7.tgz, r-oldrel (x86_64):mdgc_0.1.7.tgz
Old sources: mdgc archive

Linking:

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