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fastadi: Self-Tuning Data Adaptive Matrix Imputation
Implements the AdaptiveImpute matrix completion algorithm of 'Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion' <doi:10.1080/10618600.2018.1518238> as well as the specialized variant of 'Co-Factor Analysis of Citation Networks' <doi:10.1080/10618600.2024.2394464>. AdaptiveImpute is useful for embedding sparsely observed matrices, often out performs competing matrix completion algorithms, and self-tunes its hyperparameter, making usage easy.
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Package details |
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| Author | Alex Hayes [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-4985-5160>), Juhee Cho [aut], Donggyu Kim [aut], Karl Rohe [aut] |
| Maintainer | Alex Hayes <alexpghayes@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.2 |
| URL | https://rohelab.github.io/fastadi/ https://github.com/RoheLab/fastadi |
| Package repository | View on CRAN |
| Installation |
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