Sequential advantage selection (SAS, Fan, Lu and Song, 2016) <arXiv:1405.5239> and penalized A-learning (PAL, Shi, et al., 2018) methods are implement for selecting important variables involved in optimal individualized (dynamic) treatment regime in both single-stage or multi-stage studies.
| Version: | 1.0-1 |
| Imports: | Formula, Rglpk, ncvreg, Matrix, svMisc |
| Published: | 2018-09-24 |
| Author: | Chengchun Shi, Ailin Fan, Rui Song and Wenbin Lu |
| Maintainer: | Chengchun Shi <cshi4 at ncsu.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Citation: | ITRSelect citation info |
| Materials: | NEWS |
| CRAN checks: | ITRSelect results |
| Reference manual: | ITRSelect.pdf |
| Package source: | ITRSelect_1.0-1.tar.gz |
| Windows binaries: | r-devel: ITRSelect_1.0-1.zip, r-release: ITRSelect_1.0-1.zip, r-oldrel: ITRSelect_1.0-1.zip |
| macOS binaries: | r-release: ITRSelect_1.0-1.tgz, r-oldrel: ITRSelect_1.0-1.tgz |
| Old sources: | ITRSelect archive |
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