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>.
| Version: |
0.1.1 |
| Depends: |
R (≥ 3.5) |
| Imports: |
Matrix, maxLik, mvtnorm, numDeriv, graphics, stats |
| Suggests: |
MASS |
| Published: |
2019-11-11 |
| Author: |
Minna Genbaeck [aut, cre], |
| Maintainer: |
Minna Genbaeck <minna.genback at umu.se> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
ui results |
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