Package: visaOTR
Title: Valid Improved Sparsity A-Learning for Optimal Treatment
        Decision
Version: 0.1.0
Type: Package
Authors@R: c(
    person(given = "Zishu",
           family = "Zhan",
           role = c("aut", "cre"),
           email = "zishu927@hotmail.com"),
    person(given = "Jingxiao",
           family = "Zhang",
           role = "aut",
           email = "zhjxiao@ruc.edu.cn")
    )
Maintainer: Zishu Zhan <zishu927@hotmail.com>
Description: Valid Improved Sparsity A-Learning (VISA) provides a new method for selecting important variables involved in optimal treatment regime from a multiply robust perspective. The VISA estimator achieves its success by borrowing the strengths of both model averaging (ARM, Yuhong Yang, 2001) <doi:10.1198/016214501753168262> and variable selection (PAL, Chengchun Shi, Ailin Fan, Rui Song and Wenbin Lu, 2018) <doi:10.1214/17-AOS1570>. The package is an implementation of Zishu Zhan and Jingxiao Zhang. (2022+).
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.0
Imports: Rglpk, e1071, kernlab, Matrix, mboost, randomForest, stats,
        xgboost
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2022-07-07 11:20:59 UTC; treer
Author: Zishu Zhan [aut, cre],
  Jingxiao Zhang [aut]
Repository: CRAN
Date/Publication: 2022-07-08 15:20:05 UTC
Built: R 4.5.1; ; 2025-10-06 02:43:02 UTC; windows
