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ARTtransfer  

Adaptive and Robust Pipeline for Transfer Learning
View on CRAN: Click here


Download and install ARTtransfer package within the R console
Install from CRAN:
install.packages("ARTtransfer")

Install from Github:
library("remotes")
install_github("cran/ARTtransfer")

Install by package version:
library("remotes")
install_version("ARTtransfer", "1.0.0")



Attach the package and use:
library("ARTtransfer")
Maintained by
Boxiang Wang
[Scholar Profile | Author Map]
First Published: 2024-10-24
Latest Update: 2024-10-24
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>.
How to cite:
Boxiang Wang (2024). ARTtransfer: Adaptive and Robust Pipeline for Transfer Learning. R package version 1.0.0, https://cran.r-project.org/web/packages/ARTtransfer. Accessed 17 Feb. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for ARTtransfer
Functions, R codes and Examples using the ARTtransfer R package
Full ARTtransfer package functions and examples
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