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truncAIPW  

Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation
View on CRAN: Click here


Download and install truncAIPW package within the R console
Install from CRAN:
install.packages("truncAIPW")

Install from Github:
library("remotes")
install_github("cran/truncAIPW")

Install by package version:
library("remotes")
install_version("truncAIPW", "1.0.1")



Attach the package and use:
library("truncAIPW")
Maintained by
Yuyao Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-31
Latest Update: 2023-08-31
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" <doi:10.48550/arXiv.2208.06836>.
How to cite:
Yuyao Wang (2023). truncAIPW: Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation. R package version 1.0.1, https://cran.r-project.org/web/packages/truncAIPW. Accessed 22 Dec. 2024.
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Complete documentation for truncAIPW
Functions, R codes and Examples using the truncAIPW R package
Some associated functions: F_est . G_est . simu . simu_c1 . simu_c2 . truncAIPW . truncAIPW_cen1 . truncAIPW_cen2 . 
Some associated R codes: data.R . est_FG.R . gen.R . misc.R . truncAIPW.R . truncAIPW_c1.R . truncAIPW_c2.R .  Full truncAIPW package functions and examples
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