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 Christoffersen [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=mdgc to link to this page.
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