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QTOCen  

Quantile-Optimal Treatment Regimes with Censored Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("QTOCen", "0.1.1")



Attach the package and use:
library("QTOCen")
Maintained by
Yu Zhou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-04
Latest Update: 2019-06-04
Description:
Provides methods for estimation of mean- and quantile-optimal treatment regimes from censored data. Specifically, we have developed distinct functions for three types of right censoring for static treatment using quantile criterion: (1) independent/random censoring, (2) treatment-dependent random censoring, and (3) covariates-dependent random censoring. It also includes a function to estimate quantile-optimal dynamic treatment regimes for independent censored data. Finally, this package also includes a simulation data generative model of a dynamic treatment experiment proposed in literature.
How to cite:
Yu Zhou (2019). QTOCen: Quantile-Optimal Treatment Regimes with Censored Data. R package version 0.1.1, https://cran.r-project.org/web/packages/QTOCen. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 0.1.1 (2019-06-04 14:10)
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Complete documentation for QTOCen
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