The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

iWeigReg: Improved Methods for Causal Inference and Missing Data Problems

Improved methods based on inverse probability weighting and outcome regression for causal inference and missing data problems.

Version: 1.1
Depends: R (≥ 2.9.1), MASS (≥ 7.2-1), trust
Published: 2022-05-20
DOI: 10.32614/CRAN.package.iWeigReg
Author: Zhiqiang Tan and Heng Shu
Maintainer: Zhiqiang Tan <ztan at stat.rutgers.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.stat.rutgers.edu/~ztan
NeedsCompilation: no
Citation: iWeigReg citation info
Materials: NEWS
In views: MissingData
CRAN checks: iWeigReg results

Documentation:

Reference manual: iWeigReg.pdf
Vignettes: iWeigReg vignette

Downloads:

Package source: iWeigReg_1.1.tar.gz
Windows binaries: r-devel: iWeigReg_1.1.zip, r-release: iWeigReg_1.1.zip, r-oldrel: iWeigReg_1.1.zip
macOS binaries: r-release (arm64): iWeigReg_1.1.tgz, r-oldrel (arm64): iWeigReg_1.1.tgz, r-release (x86_64): iWeigReg_1.1.tgz, r-oldrel (x86_64): iWeigReg_1.1.tgz
Old sources: iWeigReg archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=iWeigReg 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.
Health stats visible at Monitor.