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 |
| In views: |
CausalInference |
| CRAN checks: |
QTOCen results |
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