Missing Data Imputation Using Gaussian Copulas [R package mdgc version 0.1.7]

Benjamin Christoffersen

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年05月04日

DOI: 10.32614/CRAN.package.mdgc

Author: Benjamin Christoffersen ORCID 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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