Package: ARTtransfer 1.0.0

ARTtransfer: Adaptive and Robust Pipeline for 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 <doi:10.1002/sta4.582>.

Authors:Boxiang Wang [aut, cre], Yunan Wu [aut], Chenglong Ye [aut]

ARTtransfer_1.0.0.tar.gz
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ARTtransfer.pdf |ARTtransfer.html✨
ARTtransfer/json (API)

# Install 'ARTtransfer' in R:
install.packages('ARTtransfer', repos = c('https://boxiang-wang.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/boxiang-wang/arttransfer/issues

On CRAN:

4.30 score 1 scripts 11 exports 13 dependencies

Last updated 1 months agofrom:b75f6cfeaf. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:ARTART_I_AMfit_gbmfit_glmnet_lmfit_glmnet_logitfit_lmfit_logitfit_nnetfit_rfgenerate_datastan

Dependencies:codetoolsforeachgbmglmnetiteratorslatticeMatrixnnetrandomForestRcppRcppEigenshapesurvival

Introduction to R Package ARTtransfer for Transfer Learning

Boxiang Wang, Yunan Wu, and Chenglong Ye

Rendered fromARTtransfer.Rmdusingknitr::rmarkdownon Oct 25 2024.

Last update: 2024-10-21
Started: 2024-09-24