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.

MultiRobust: Multiply Robust Methods for Missing Data Problems

Multiply robust estimation for population mean (Han and Wang 2013) <doi:10.1093/biomet/ass087>, regression analysis (Han 2014) <doi:10.1080/01621459.2014.880058> (Han 2016) <doi:10.1111/sjos.12177> and quantile regression (Han et al. 2019) <doi:10.1111/rssb.12309>.

Version: 1.0.5
Imports: stats
Suggests: MASS, SuppDists, quantreg
Published: 2019-06-03
Author: Shixiao Zhang and Peisong Han
Maintainer: Shixiao Zhang <praetere at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MultiRobust results

Documentation:

Reference manual: MultiRobust.pdf

Downloads:

Package source: MultiRobust_1.0.5.tar.gz
Windows binaries: r-devel: MultiRobust_1.0.5.zip, r-release: MultiRobust_1.0.5.zip, r-oldrel: MultiRobust_1.0.5.zip
macOS binaries: r-release (arm64): MultiRobust_1.0.5.tgz, r-oldrel (arm64): MultiRobust_1.0.5.tgz, r-release (x86_64): MultiRobust_1.0.5.tgz, r-oldrel (x86_64): MultiRobust_1.0.5.tgz
Old sources: MultiRobust archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MultiRobust 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.