learner
Latent Space-Based Transfer Learning
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.
- Version1.0.0
- R versionR (≥ 2.10)
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release03/03/2025
Documentation
Team
Sean McGrath
MaintainerShow author detailsRyan ODea
Show author detailsRolesAuthorCenhao Zhu
Show author detailsRolesAuthorRui Duan
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 300 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
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Last 365 days
This package has been downloaded 647 times in the last 365 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The day with the most downloads was Mar 04, 2025 with 44 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports3 packages
- Suggests1 package
- Linking To2 packages