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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: Adaptive and Robust Transfer Learning (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 (2023) <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://CRAN.R-project.org/package=ARTtransfer
date-released: '2024-10-16'
contact:
- family-names: Wang
  given-names: Boxiang
  email: boxiang-wang@uiowa.edu