DESCRIPTION

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