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QTOCen: Quantile-Optimal Treatment Regimes with Censored Data

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.

Version:0.1.1
Depends:R (≥ 3.3), utils
Imports:survival,rgenoud (≥ 5.8),quantreg (≥ 5.18), stats, grDevices, methods,Rdpack,MatrixModels
Suggests:parallel,stringr,testthat,faraway,quantoptr (≥ 0.1.3),survminer
Published:2019-06-04
DOI:10.32614/CRAN.package.QTOCen
Author:Yu Zhou [cre, aut], Lan Wang [ctb]
Maintainer:Yu Zhou <zhou0269 at umn.edu>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:no
In views:CausalInference
CRAN checks:QTOCen results

Documentation:

Reference manual:QTOCen.html ,QTOCen.pdf

Downloads:

Package source: QTOCen_0.1.1.tar.gz
Windows binaries: r-devel:QTOCen_0.1.1.zip, r-release:QTOCen_0.1.1.zip, r-oldrel:QTOCen_0.1.1.zip
macOS binaries: r-release (arm64):QTOCen_0.1.1.tgz, r-oldrel (arm64):QTOCen_0.1.1.tgz, r-release (x86_64):QTOCen_0.1.1.tgz, r-oldrel (x86_64):QTOCen_0.1.1.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=QTOCento link to this page.


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