The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| In views: | CausalInference |
| CRAN checks: | QTOCen results |
| Reference manual: | QTOCen.pdf |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=QTOCen to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.