learner
Latent Space-Based Transfer Learning
Implements transfer learning methods for low-rank matrix estimation. These methods leverage similarity in the latent row and column spaces between the source and target populations to improve estimation in the target population. The methods include the LatEnt spAce-based tRaNsfer lEaRning (LEARNER) method and the direct projection LEARNER (D-LEARNER) method described by McGrath et al. (2024) doi:10.48550/arXiv.2412.20605.
- Version1.0.0
- R versionR (≥ 2.10)
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release03/03/2025
Documentation
Team
Sean McGrath
MaintainerShow author detailsRyan ODea
Show author detailsRolesAuthorCenhao Zhu
Show author detailsRolesAuthorRui Duan
Show author detailsRolesAuthor
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- Imports3 packages
- Suggests1 package
- Linking To2 packages