Package: learner 1.0.1

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>.

Authors:Sean McGrath [aut, cre], Ryan ODea [aut], Cenhao Zhu [aut], Rui Duan [aut]