Latent Space-Based Transfer Learning
Overview
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.
- Re-implemented most of
learnerandcv.learnerin Rcpp, resulting in significant speed-ups - Re-ordered matrix computations in
dlearner, resulting in significant speed-ups for large matrices - Fixed a bug in
cv.learnerwhenY_targethas missing entries - Expanded unit testing
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-15
- ERROR12 OK, 1 ERROR2026-07-13
- OK13 OK2026-06-18
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- ERROR12 OK, 1 ERROR2026-06-16
- OK13 OK2026-06-04
- ERROR12 OK, 1 ERROR2026-06-01
- OK13 OK2026-05-19
- ERROR12 OK, 1 ERROR2026-05-18
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
- NOTE12 OK, 2 NOTE2026-04-11
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 60%
Downloads
Repository
- PRs merged (all time)
- 71%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 3
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6 development-tooling and community-health practices detected across 5 families in the upstream repository
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Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.0Latest
- 0.1.02025-01-08
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2025-01-08
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 304 KB / 2 files
- Download size
- 321 KB
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