MultiRobust
Multiply Robust Methods for Missing Data Problems
Multiply robust estimation for population mean (Han and Wang 2013) <doi:10.1093/biomet/ass087>, regression analysis (Han 2014) <doi:10.1080/01621459.2014.880058> (Han 2016) <doi:10.1111/sjos.12177> and quantile regression (Han et al. 2019) <doi:10.1111/rssb.12309>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.5 |
rolling linux/jammy R-4.5 | MultiRobust_1.0.5.tar.gz |
82.6 KiB |
1.0.5 |
rolling linux/noble R-4.5 | MultiRobust_1.0.5.tar.gz |
82.6 KiB |
1.0.5 |
rolling source/ R- | MultiRobust_1.0.5.tar.gz |
12.1 KiB |
1.0.5 |
latest linux/jammy R-4.5 | MultiRobust_1.0.5.tar.gz |
82.6 KiB |
1.0.5 |
latest linux/noble R-4.5 | MultiRobust_1.0.5.tar.gz |
82.6 KiB |
1.0.5 |
latest source/ R- | MultiRobust_1.0.5.tar.gz |
12.1 KiB |
1.0.5 |
2026-04-26 source/ R- | MultiRobust_1.0.5.tar.gz |
12.1 KiB |
1.0.5 |
2026-04-23 source/ R- | MultiRobust_1.0.5.tar.gz |
12.1 KiB |
1.0.5 |
2026-04-09 windows/windows R-4.5 | MultiRobust_1.0.5.zip |
85.4 KiB |
1.0.5 |
2025-04-20 source/ R- | MultiRobust_1.0.5.tar.gz |
12.1 KiB |