Package: truncAIPW
Type: Package
Title: Doubly Robust Estimation under Covariate-Induced Dependent Left
        Truncation
Version: 1.0.1
Authors@R: c(
    person("Yuyao", "Wang", email = "yuw079@ucsd.edu", role = c("cre","aut")),
    person("Andrew", "Ying", email = "aying9339@gmail.com", role = "aut"),
	person("Ronghui", "Xu", email = "rxu@health.ucsd.edu", role = "aut"))
Author: Yuyao Wang [cre, aut],
  Andrew Ying [aut],
  Ronghui Xu [aut]
Maintainer: Yuyao Wang <yuw079@ucsd.edu>
Description: 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" <arXiv:2208.06836>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
URL: https://arxiv.org/pdf/2208.06836.pdf
LazyData: true
Imports: stats, survival, survPen
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-08-30 20:36:26 UTC; wangyuyao
Repository: CRAN
Date/Publication: 2023-08-31 13:50:02 UTC
Built: R 4.6.0; ; 2026-04-26 05:06:32 UTC; unix
