# --------------------------------------------
# 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: 1.0.0
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) <https://doi.org/10.48550/arXiv.2412.20605>.
authors:
- family-names: McGrath
  given-names: Sean
  email: sean.mcgrath514@gmail.com
  orcid: https://orcid.org/0000-0002-7281-3516
- family-names: ODea
  given-names: Ryan
  email: ryanodea@hsph.harvard.edu
- 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: c7e5266ac65414d10ee378f8a7c57b2d20f2681c
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