# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "learner" in publications use:' type: software title: 'learner: Latent Space-Based Transfer Learning' version: 0.2.0 doi: 10.32614/CRAN.package.learner abstract: 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) . authors: - family-names: McGrath given-names: Sean email: sean.mcgrath514@gmail.com orcid: https://orcid.org/0000-0002-7281-3516 - family-names: Zhu given-names: Cenhao email: cenhaoz@mit.edu - family-names: Duan given-names: Rui email: rduan@hsph.harvard.edu repository: https://stmcg.r-universe.dev repository-code: https://github.com/stmcg/learner commit: fb6e19f91873c45a54aedabb75d5234d823078fa url: https://github.com/stmcg/learner contact: - family-names: McGrath given-names: Sean email: sean.mcgrath514@gmail.com orcid: https://orcid.org/0000-0002-7281-3516