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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "ARTtransfer" in publications use:'
type: software
license: GPL-2.0-only
title: 'ARTtransfer: Adaptive and Robust Pipeline for Transfer Learning'
version: 1.0.0
doi: 10.32614/CRAN.package.ARTtransfer
abstract: ART is a flexible framework for transfer learning that integrates information
  from auxiliary data sources to improve model performance on primary tasks. It is
  designed to be robust against negative transfer by including the non-transfer model
  in the candidate pool, ensuring stable performance even when auxiliary datasets
  are less informative. See the paper, Wang, Wu, and Ye <https://doi.org/10.1002/sta4.582>.
authors:
- family-names: Wang
  given-names: Boxiang
  email: boxiang-wang@uiowa.edu
- family-names: Wu
  given-names: Yunan
- family-names: Ye
  given-names: Chenglong
repository: https://boxiang-wang.r-universe.dev
commit: b75f6cfeaff7da222e69fc193c686d866285d4d1
date-released: '2024-10-16'
contact:
- family-names: Wang
  given-names: Boxiang
  email: boxiang-wang@uiowa.edu