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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.7 |
rolling linux/jammy R-4.5 | mdgc_0.1.7.tar.gz |
670.6 KiB |
0.1.7 |
rolling linux/noble R-4.5 | mdgc_0.1.7.tar.gz |
680.9 KiB |
0.1.7 |
rolling source/ R- | mdgc_0.1.7.tar.gz |
357.2 KiB |
0.1.7 |
latest linux/jammy R-4.5 | mdgc_0.1.7.tar.gz |
670.6 KiB |
0.1.7 |
latest linux/noble R-4.5 | mdgc_0.1.7.tar.gz |
680.9 KiB |
0.1.7 |
latest source/ R- | mdgc_0.1.7.tar.gz |
357.2 KiB |
0.1.7 |
2026-04-26 source/ R- | mdgc_0.1.7.tar.gz |
357.2 KiB |
0.1.7 |
2026-04-23 source/ R- | mdgc_0.1.7.tar.gz |
357.2 KiB |
0.1.7 |
2026-04-09 windows/windows R-4.5 | mdgc_0.1.7.zip |
1.0 MiB |
0.1.7 |
2025-04-20 source/ R- | mdgc_0.1.7.tar.gz |
357.2 KiB |