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>.">

ui: Uncertainty Intervals and Sensitivity Analysis for Missing Data (original) (raw)

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
DOI: 10.32614/CRAN.package.ui
Author: Minna Genbaeck [aut, cre],
Maintainer: Minna Genbaeck <minna.genback at umu.se>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
In views: CausalInference, MissingData
CRAN checks: ui results

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