Package: learner
Type: Package
Title: Latent Space-Based Transfer Learning
Version: 1.0.1
Authors@R: c(person("Sean", "McGrath", role = c("aut", "cre"), 
                     email = "sean.mcgrath514@gmail.com",
                     comment = c(ORCID = "0000-0002-7281-3516")),
              person("Ryan", "ODea", role = c("aut"),
                     email = "ryanodea@hsph.harvard.edu"),
              person("Cenhao", "Zhu", role = c("aut"),
                      email = "cenhaoz@mit.edu"),
              person("Rui", "Duan", role = c("aut"), 
                      email = "rduan@hsph.harvard.edu"))
Maintainer: Sean McGrath <sean.mcgrath514@gmail.com>
Description: 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>.
License: GPL (>=3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
URL: https://github.com/stmcg/learner
BugReports: https://github.com/stmcg/learner/issues
Imports: ScreeNOT, Rcpp (>= 1.0.11), RcppEigen
LinkingTo: Rcpp, RcppEigen
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 2.10)
Repository: https://stmcg.r-universe.dev
Date/Publication: 2025-07-18 18:06:18 UTC
RemoteUrl: https://github.com/stmcg/learner
RemoteRef: HEAD
RemoteSha: f7076dab92df600e1b96e1f1c885e3d04af0044c
NeedsCompilation: yes
Packaged: 2026-06-13 06:35:59 UTC; root
Author: Sean McGrath [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-7281-3516>),
  Ryan ODea [aut],
  Cenhao Zhu [aut],
  Rui Duan [aut]