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>
License: GPL-3
NeedsCompilation: no
CRAN checks: truncAIPW results


Reference manual: truncAIPW.pdf


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


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