glmtrans

Transfer Learning under Regularized Generalized Linear Models

CRAN Package

We provide an efficient implementation for two-step multi-source transfer learning algorithms in high-dimensional generalized linear models (GLMs). The elastic-net penalized GLM with three popular families, including linear, logistic and Poisson regression models, can be fitted. To avoid negative transfer, a transferable source detection algorithm is proposed. We also provides visualization for the transferable source detection results. The relevant paper is available on arXiv: .

  • Version2.0.0
  • R version≥ 3.5.0
  • LicenseGPL-2
  • Needs compilation?No
  • Last release02/08/2022

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  • Depends1 package
  • Imports8 packages
  • Suggests2 packages
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