The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

ui: Uncertainty Intervals and Sensitivity Analysis for Missing Data

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>.

Version: 1.0.1
Depends: R (≥ 4.1)
Imports: Matrix, maxLik, mvtnorm, numDeriv, graphics, stats, dplyr, plotly, ggplot2
Suggests: MASS, testthat (≥ 3.0.0)
Published: 2026-06-25
DOI: 10.32614/CRAN.package.ui
Author: Minna Genbäck [aut, cre], Tetiana Gorbach [aut]
Maintainer: Minna Genbäck <minna.genback at umu.se>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
In views: CausalInference, MissingData
CRAN checks: ui results

Documentation:

Reference manual: ui.html , ui.pdf

Downloads:

Package source: ui_1.0.1.tar.gz
Windows binaries: r-devel: ui_1.0.1.zip, r-release: ui_0.1.1.zip, r-oldrel: ui_1.0.1.zip
macOS binaries: r-release (arm64): ui_1.0.1.tgz, r-oldrel (arm64): ui_1.0.1.tgz, r-release (x86_64): ui_1.0.1.tgz, r-oldrel (x86_64): ui_1.0.1.tgz
Old sources: ui archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ui to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.