ITRSelect: Variable Selection for Optimal Individualized Dynamic Treatment Regime

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>
License: GPL-2
NeedsCompilation: yes
Citation: ITRSelect citation info
Materials: NEWS
In views: CausalInference
CRAN checks: ITRSelect results


Reference manual: ITRSelect.pdf


Package source: ITRSelect_1.0-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ITRSelect_1.0-1.tgz, r-oldrel (arm64): ITRSelect_1.0-1.tgz, r-release (x86_64): ITRSelect_1.0-1.tgz, r-oldrel (x86_64): ITRSelect_1.0-1.tgz
Old sources: ITRSelect archive


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