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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 "squant" in publications use:'
type: software
license: GPL-3.0-only
title: 'squant: Subgroup Identification Based on Quantitative Objectives'
version: 1.1.7
identifiers:
- type: doi
  value: 10.32614/CRAN.package.squant
abstract: A subgroup identification method for precision medicine based on quantitative
  objectives. This method can handle continuous, binary and survival endpoint for
  both prognostic and predictive case. For the predictive case, the method aims at
  identifying a subgroup for which treatment is better than control by at least a
  pre-specified or auto-selected constant. For the prognostic case, the method aims
  at identifying a subgroup that is at least better than a pre-specified/auto-selected
  constant. The derived signature is a linear combination of predictors, and the selected
  subgroup are subjects with the signature > 0. The false discover rate when no true
  subgroup exists is controlled at a user-specified level.
authors:
- family-names: SUN
  given-names: YAN
  email: sunyanrobin@gmail.com
- family-names: CHENG
  given-names: LING
- family-names: HEDAYAT
  given-names: A.S.
preferred-citation:
  type: article
  title: Subgroup Identification Based on Quantitative Objectives
  authors:
  - family-names: Sun
    given-names: Yan
    email: sunyanrobin@gmail.com
  - family-names: Hedayat
    given-names: A.S.
  journal: submitted
  year: '2022'
repository: https://ys-statcode.r-universe.dev
commit: bac1e2d945e2779e84c438b7c33fb6447f669a95
date-released: '2024-08-20'
contact:
- family-names: SUN
  given-names: YAN
  email: sunyanrobin@gmail.com