Package: mdgc
Type: Package
Title: Missing Data Imputation Using Gaussian Copulas
Version: 0.1.7
Authors@R: c(
  person("Benjamin", "Christoffersen", 
         email = "boennecd@gmail.com", 
         role = c("cre", "aut"), 
         comment = c(ORCID = "0000-0002-7182-1346")), 
  person("Alan", "Genz", 
         role = "cph"),
  person("Frank", "Bretz", 
         role = "cph"),
  person("Torsten", "Hothorn", 
         role = "cph"),
  person("R-core", email = "R-core@R-project.org",
         role = "cph"),
  person("Ross", "Ihaka", 
         role = "cph"))
Description: Provides functions to impute missing values using Gaussian
        copulas for mixed data types as described by Christoffersen et
        al. (2021) <arXiv:2102.02642>. The method is related to Hoff
        (2007) <doi:10.1214/07-AOAS107> and Zhao and Udell (2019)
        <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.
License: GPL-2
BugReports: https://github.com/boennecd/mdgc/issues
URL: https://github.com/boennecd/mdgc
Encoding: UTF-8
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo, testthat, BH, psqn
Imports: Rcpp
Suggests: testthat, catdata
Config/pak/sysreqs: cmake make libuv1-dev
Repository: https://boennecd.r-universe.dev
Date/Publication: 2023-05-04 19:18:32 UTC
RemoteUrl: https://github.com/boennecd/mdgc
RemoteRef: HEAD
RemoteSha: 3e3181470259efcf6a0433c9e842f638aada5c43
NeedsCompilation: yes
Packaged: 2026-06-11 11:15:48 UTC; root
Author: Benjamin Christoffersen [cre, aut] (ORCID:
    <https://orcid.org/0000-0002-7182-1346>),
  Alan Genz [cph],
  Frank Bretz [cph],
  Torsten Hothorn [cph],
  R-core [cph],
  Ross Ihaka [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>