Package: ARTtransfer
Type: Package
Title: Adaptive and Robust Pipeline for Transfer Learning
Version: 1.0.0
Date: 2024-10-16
Authors@R: c(person(given = "Boxiang",
               family = "Wang",
               role = c("aut", "cre"),
               email = "boxiang-wang@uiowa.edu"),
        person(given = "Yunan",
               family = "Wu",
               role = "aut"),
        person(given = "Chenglong",
               family = "Ye",
               role = "aut"))
Description: 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)
        <doi:10.1002/sta4.582>.
Imports: gbm, glmnet, nnet, randomForest, stats
Encoding: UTF-8
License: GPL-2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
RoxygenNote: 7.3.2
Repository: https://boxiang-wang.r-universe.dev
Date/Publication: 2025-01-18 20:35:45 UTC
RemoteUrl: https://github.com/boxiang-wang/arttransfer
RemoteRef: HEAD
RemoteSha: 000413ae345f78ca15b692d659f565e075b7cb2c
NeedsCompilation: no
Packaged: 2026-07-04 07:21:51 UTC; root
Author: Boxiang Wang [aut, cre],
  Yunan Wu [aut],
  Chenglong Ye [aut]
Maintainer: Boxiang Wang <boxiang-wang@uiowa.edu>