Package: ARTtransfer 1.0.0

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

ARTtransfer_1.0.0.tar.gz
ARTtransfer_1.0.0.zip(r-4.7)ARTtransfer_1.0.0.zip(r-4.6)ARTtransfer_1.0.0.zip(r-4.5)
ARTtransfer_1.0.0.tgz(r-4.6-any)ARTtransfer_1.0.0.tgz(r-4.5-any)
ARTtransfer_1.0.0.tar.gz(r-4.7-any)ARTtransfer_1.0.0.tar.gz(r-4.6-any)
ARTtransfer_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ARTtransfer/json (API)

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

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

On CRAN:

Conda:

3.70 score 10 scripts 585 downloads 11 exports 13 dependencies

Last updated from:000413ae34. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK131
source / vignettesOK179
linux-release-x86_64OK127
macos-release-arm64OK123
macos-oldrel-arm64OK101
windows-develOK127
windows-releaseOK224
windows-oldrelOK82
wasm-releaseOK98

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 May 05 2026.

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