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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "visaOTR" in publications use:'
type: software
license: GPL-3.0-only
title: 'visaOTR: Valid Improved Sparsity A-Learning for Optimal Treatment Decision'
version: 0.1.0
doi: 10.32614/CRAN.package.visaOTR
abstract: 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) <https://doi.org/10.1198/016214501753168262>
  and variable selection (PAL, Chengchun Shi, Ailin Fan, Rui Song and Wenbin Lu, 2018)
  <https://doi.org/10.1214/17-AOS1570>. The package is an implementation of Zishu
  Zhan and Jingxiao Zhang. (2022+).
authors:
- family-names: Zhan
  given-names: Zishu
  email: zishu927@hotmail.com
- family-names: Zhang
  given-names: Jingxiao
  email: zhjxiao@ruc.edu.cn
repository: https://treerlikesu.r-universe.dev
commit: 5a74b50e687d8f4787f9fa6cdfb74f301e0c07f3
date-released: '2022-07-08'
contact:
- family-names: Zhan
  given-names: Zishu
  email: zishu927@hotmail.com