Package: ui
Title: Uncertainty Intervals and Sensitivity Analysis for Missing Data
Version: 0.1.0
Author: Minna Genbaeck [aut, cre],
Maintainer: Minna Genbaeck <minna.genback@umu.se>
Description: 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>.
Depends: R (>= 3.5)
Imports: Matrix, maxLik, mvtnorm, numDeriv, graphics, stats
Suggests: MASS
Encoding: UTF-8
LazyData: true
License: GPL-2
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-19 09:28:53 UTC; miahjr04
Repository: CRAN
Date/Publication: 2019-06-19 12:10:03 UTC
