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) 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.
- Version0.1.7
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Christoffersen et al. (2021)
- Hoff (2007)
- Zhao and Udell (2019)
- Genz and Bretz (2002)
- Last release05/04/2023
Documentation
Team
Benjamin Christoffersen
Torsten Hothorn
Show author detailsRolesCopyright holderRoss Ihaka
Show author detailsRolesCopyright holderR-core
Show author detailsRolesCopyright holderFrank Bretz
Show author detailsRolesCopyright holderAlan Genz
Show author detailsRolesCopyright holder
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