ui
Uncertainty Intervals and Sensitivity Analysis for Missing Data
Implements functions to derive uncertainty intervals for (i) regression (linear and probit) parameters when outcome is missing not at random (non-ignorable missingness) introduced in Genbaeck, M., Stanghellini, E., de Luna, X. (2015) <doi:10.1007/s00362-014-0610-x> and Genbaeck, M., Ng, N., Stanghellini, E., de Luna, X. (2018) <doi:10.1007/s10433-017-0448-x>; and (ii) double robust and outcome regression estimators of average causal effects (on the treated) with possibly unobserved confounding introduced in Genbaeck, M., de Luna, X. (2018) <doi:10.1111/biom.13001>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | ui_0.1.1.tar.gz |
144.3 KiB |
0.1.1 |
rolling linux/noble R-4.5 | ui_0.1.1.tar.gz |
144.5 KiB |
0.1.1 |
rolling source/ R- | ui_0.1.1.tar.gz |
23.3 KiB |
0.1.1 |
latest linux/jammy R-4.5 | ui_0.1.1.tar.gz |
144.3 KiB |
0.1.1 |
latest linux/noble R-4.5 | ui_0.1.1.tar.gz |
144.5 KiB |
0.1.1 |
latest source/ R- | ui_0.1.1.tar.gz |
23.3 KiB |
0.1.1 |
2026-04-26 source/ R- | ui_0.1.1.tar.gz |
23.3 KiB |
0.1.1 |
2026-04-23 source/ R- | ui_0.1.1.tar.gz |
23.3 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | ui_0.1.1.zip |
147.0 KiB |
0.1.1 |
2025-04-20 source/ R- | ui_0.1.1.tar.gz |
23.3 KiB |