Package: ARTtransfer 1.0.0
Boxiang Wang
ARTtransfer: Adaptive and Robust Pipeline for Transfer Learning
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>.
Authors:
ARTtransfer_1.0.0.tar.gz
ARTtransfer_1.0.0.tar.gz(r-4.5-noble)ARTtransfer_1.0.0.tar.gz(r-4.4-noble)
ARTtransfer_1.0.0.tgz(r-4.4-emscripten)ARTtransfer_1.0.0.tgz(r-4.3-emscripten)
ARTtransfer.pdf |ARTtransfer.html✨
ARTtransfer/json (API)
| # Install 'ARTtransfer' in R: |
| install.packages('ARTtransfer', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 days agofrom:54301995f8. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-linux | OK | Oct 25 2024 |
Exports:ARTART_I_AMfit_gbmfit_glmnet_lmfit_glmnet_logitfit_lmfit_logitfit_nnetfit_rfgenerate_datastan
Dependencies:codetoolsforeachgbmglmnetiteratorslatticeMatrixnnetrandomForestRcppRcppEigenshapesurvival
