Package: learner
Type: Package
Title: Latent Space-Based Transfer Learning
Version: 1.1.0
Authors@R: c(person("Sean", "McGrath", role = c("aut", "cre"), 
                     email = "sean.mcgrath514@gmail.com",
                     comment = c(ORCID = "0000-0002-7281-3516")),
              person("Jodie", "Li", role = "aut",
                     email = "ljuanshuo@gmail.com"),
              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 one or more source populations and a
        target population 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>. Supports weighted combinations
        of source spaces, separate row- and column-space penalties, and
        cross-validation for penalty selection.
License: GPL (>=3)
Encoding: UTF-8
LazyData: true
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)
RoxygenNote: 7.3.2
Repository: https://stmcg.r-universe.dev
Date/Publication: 2026-10-19 02:37:48 UTC
RemoteUrl: https://github.com/stmcg/learner
RemoteRef: HEAD
RemoteSha: 37ed8f06a8c58f56599a086c88b5592825c3d8b3
NeedsCompilation: yes
Packaged: 2026-10-19 07:08:52 UTC; root
Author: Sean McGrath [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-7281-3516>),
  Jodie Li [aut],
  Ryan ODea [aut],
  Cenhao Zhu [aut],
  Rui Duan [aut]