OTRselect-package {OTRselect} | R Documentation |
Variable Selection for Optimal Treatment Decision
Description
A penalized regression framework that can simultaneously estimate the optimal treatment strategy and identify important variables. Appropriate for either censored or uncensored continuous response.
Details
The DESCRIPTION file:
Package: | OTRselect |
Type: | Package |
Title: | Variable Selection for Optimal Treatment Decision |
Version: | 1.2 |
Date: | 2023-11-24 |
Author: | Wenbin Lu, Hao Helen Zhang, Donglin Zeng, Yuan Geng, and Shannon T. Holloway |
Maintainer: | Shannon T. Holloway <shannon.t.holloway@gmail.com> |
Description: | A penalized regression framework that can simultaneously estimate the optimal treatment strategy and identify important variables. Appropriate for either censored or uncensored continuous response. |
License: | GPL-2 |
Depends: | stats, lars, survival, methods |
NeedsCompilation: | no |
Index of help topics:
OTRselect-package Variable Selection for Optimal Treatment Decision Qhat Mean Response or Restricted Mean Response Given a Treatment Regime censored Variable Selection for Optimal Treatment Decision with Censored Survival Times uncensored Variable Selection for Optimal Treatment Decision with Uncensored Continuous Response
Function censored
performs variable selection for censored continuous response. Function uncensored
performs variable selection for uncensored continuous response. Function Qhat
estimates the restricted mean response given a treatment regime for censored data or the mean response given a treatment regime for uncensored data.
Author(s)
Wenbin Lu, Hao Helen Zhang, Donglin Zeng, Yuan Geng, and Shannon T. Holloway
Maintainer: Shannon T. Holloway <shannon.t.holloway@gmail.com>
References
Lu, W., Zhang, H. H., and Zeng. D. (2013). Variable selection for optimal treatment decision. Statistical Methods in Medical Research, 22, 493–504. PMCID: PMC3303960.
Geng, Y., Lu, W., and Zhang, H. H. (2015). On optimal treatment regimes selection for mean survival time. Statistics in Medicine, 34, 1169–1184. PMCID: PMC4355217.