Uncertainty Intervals and Sensitivity Analysis for Missing Data R package ui version 1.0.1 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) Implements functions to derive uncertainty intervals for (i) regression (linear and probit) parameters under missing not at random (non-ignorable missingness) as introduced in Genbäck, M., Stanghellini, E., and de Luna, X. (2015) <doi:10.1007/s00362-014-0610-x> and Genbäck, M., Ng, N., Stanghellini, E., and de Luna, X. (2018) <doi:10.1007/s10433-017-0448-x>. Also includes methods for doubly robust and outcome regression estimators of average causal effects under unobserved confounding as in Genbäck, M. and de Luna, X. (2018) <doi:10.1111/biom.13001>, and for partial correlation analysis following Gorbach, T. and de Luna, X. (2018) <doi:10.1016/j.spl.2018.05.027>. Software Depends: R (>= 4.1) Imports: Matrix, maxLik, mvtnorm, numDeriv, graphics, stats, dplyr, plotly, ggplot2 Suggests: MASS, testthat (>= 3.0.0) Minna Genbäck <minna.genback@umu.se> Comprehensive R Archive Network (CRAN) Minna Genbäck [aut, cre], Tetiana Gorbach [aut] GPL-3 2026-06-25 application/tgz https://CRAN.R-project.org/package=ui doi:10.32614/CRAN.package.ui