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

Downloads:

Reference manual: ui.pdf
Package source: ui_0.1.1.tar.gz
Windows binaries: r-devel: ui_0.1.1.zip, r-devel-gcc8: ui_0.1.1.zip, r-release: ui_0.1.1.zip, r-oldrel: ui_0.1.1.zip
OS X binaries: r-release: ui_0.1.1.tgz, r-oldrel: ui_0.1.1.tgz
Old sources: ui archive

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