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CRAN: Package fastadi

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 + file LICENSE URL: https://rohelab.github.io/fastadi/, https://github.com/RoheLab/fastadi NeedsCompilation: yes Materials: README NEWS CRAN checks: fastadi results Documentation: Downloads: Linking:

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