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

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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

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