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 |
In views: | MissingData |
CRAN checks: | ui results |
Reference manual: | ui.pdf |
Package source: | ui_0.1.1.tar.gz |
Windows binaries: | r-devel: ui_0.1.1.zip, r-release: ui_0.1.1.zip, r-oldrel: ui_0.1.1.zip |
macOS binaries: | r-release: ui_0.1.1.tgz, r-oldrel: ui_0.1.1.tgz |
Old sources: | ui archive |
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