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.

truncAIPW: Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation

Doubly robust estimation for the mean of an arbitrarily transformed survival time under covariate-induced dependent left truncation and noninformative right censoring. The functions truncAIPW(), truncAIPW_cen1(), and truncAIPW_cen2() compute the doubly robust estimators under the scenario without censoring and the two censoring scenarios, respectively. The package also contains three simulated data sets 'simu', 'simu_c1', and 'simu_c2', which are used to illustrate the usage of the functions in this package. Reference: Wang, Y., Ying, A., Xu, R. (2022) "Doubly robust estimation under covariate-induced dependent left truncation" <doi:10.48550/arXiv.2208.06836>.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: stats, survival, survPen
Published: 2023-08-31
Author: Yuyao Wang [cre, aut], Andrew Ying [aut], Ronghui Xu [aut]
Maintainer: Yuyao Wang <yuw079 at ucsd.edu>
License: GPL-3
URL: https://arxiv.org/pdf/2208.06836.pdf
NeedsCompilation: no
CRAN checks: truncAIPW results

Documentation:

Reference manual: truncAIPW.pdf

Downloads:

Package source: truncAIPW_1.0.1.tar.gz
Windows binaries: r-devel: truncAIPW_1.0.1.zip, r-release: truncAIPW_1.0.1.zip, r-oldrel: truncAIPW_1.0.1.zip
macOS binaries: r-release (arm64): truncAIPW_1.0.1.tgz, r-oldrel (arm64): truncAIPW_1.0.1.tgz, r-release (x86_64): truncAIPW_1.0.1.tgz, r-oldrel (x86_64): truncAIPW_1.0.1.tgz

Linking:

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