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
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
CRAN checks: QTOCen results

Downloads:

Reference manual: QTOCen.pdf
Package source: QTOCen_0.1.1.tar.gz
Windows binaries: r-devel: QTOCen_0.1.1.zip, r-devel-gcc8: QTOCen_0.1.1.zip, r-release: QTOCen_0.1.1.zip, r-oldrel: QTOCen_0.1.1.zip
OS X binaries: r-release: QTOCen_0.1.1.tgz, r-oldrel: QTOCen_0.1.1.tgz

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