ITRSelect-package: Variable Selection for Optimal Individualized Dynamic...

Description Details Author(s) References


Sequential advantage selection (SAS) and penalized A-learning (PAL) methods are implement for selecting important variables involved in optimal individualized (dynamic) treatment regime in both single-stage or multi-stage studies.


Package: ITRSelect
Type: Package
Version: 1.0
Date: 2018-04-19
License: GPL-2


Chengchun Shi, Ailin Fan, Rui Song, Wenbin Lu

Maintainer: Chengchun Shi <>


Shi, C. and Fan, A. and Song, R. and Lu, W. (2018) High-Dimensional A-Learing for Optimal Dynamic Treatment Regimes. Annals of Statistics, 46: 925-957.

Fan, A. and Lu, W. and Song, R. (2016) Sequential Advantage Selection for Optimal Treatment Regime. Annals of Applied Statistics, 10: 32-53.

Shi, C. and Song, R. and Lu, W. (2018) Concordance and Value Information Criteria for Optimal Treatment Decision. Under review.

ITRSelect documentation built on May 1, 2019, 10:56 p.m.