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.
Version: | 0.1.2 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp |
LinkingTo: | Rcpp, RcppArmadillo, testthat, BH, psqn |
Suggests: | testthat, catdata |
Published: | 2021-02-26 |
Author: | Benjamin Christoffersen
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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 |
SystemRequirements: | C++14 |
CRAN checks: | mdgc results |
Reference manual: | mdgc.pdf |
Package source: | mdgc_0.1.2.tar.gz |
Windows binaries: | r-devel: mdgc_0.1.2.zip, r-release: not available, r-oldrel: not available |
macOS binaries: | r-release: mdgc_0.1.2.tgz, r-oldrel: mdgc_0.1.1.tgz |
Old sources: | mdgc archive |
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