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
Insights
Last 30 days
This package has been downloaded 176 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
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Last 365 days
This package has been downloaded 2,803 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 35 downloads.
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Dependencies
- Imports1 package
- Suggests2 packages
- Linking To5 packages