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.
| Version: | 0.1.2 |
| Depends: | LRMF3,Matrix, R (≥ 3.1) |
| Imports: | glue,logger, methods,Rcpp,rlang,RSpectra |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | invertiforms,covr,knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2025-05-02 |
| DOI: | 10.32614/CRAN.package.fastadi |
| Author: | Alex Hayes [aut, cre, cph], Juhee Cho [aut], Donggyu Kim [aut], Karl Rohe [aut] |
| Maintainer: | Alex Hayes <alexpghayes at gmail.com> |
| BugReports: | https://github.com/RoheLab/fastadi/issues |
| License: | MIT + fileLICENSE |
| URL: | https://rohelab.github.io/fastadi/,https://github.com/RoheLab/fastadi |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | fastadi results |
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