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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) <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.
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Package details |
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| Author | Benjamin Christoffersen [cre, aut] (<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> |
| License | GPL-2 |
| Version | 0.1.7 |
| URL | https://github.com/boennecd/mdgc |
| Package repository | View on CRAN |
| Installation |
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