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 |
Documentation:
Downloads:
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