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
In views:	CausalInference
CRAN checks:	ui results

Documentation:

Reference manual:

ui.pdf

Downloads:

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 (arm64): ui_0.1.1.tgz, r-oldrel (arm64): ui_0.1.1.tgz, r-release (x86_64): ui_0.1.1.tgz, r-oldrel (x86_64): ui_0.1.1.tgz
Old sources:	ui archive

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