fastadi: Self-Tuning Data Adaptive Matrix Imputation

Implements the AdaptiveImpute matrix completion algorithm of 'Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion', <>. AdaptiveImpute is useful for embedding sparsely observed matrices, often out performs competing matrix completion algorithms, and self-tunes its hyperparameter, making usage easy.

Version: 0.1.1
Depends: LRMF3, Matrix, R (≥ 3.1)
Imports: ellipsis, glue, logger, methods, Rcpp, RSpectra
LinkingTo: Rcpp, RcppArmadillo
Suggests: invertiforms, covr, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-09-07
DOI: 10.32614/CRAN.package.fastadi
Author: Alex Hayes ORCID iD [aut, cre, cph], Juhee Cho [aut], Donggyu Kim [aut], Karl Rohe [aut]
Maintainer: Alex Hayes <alexpghayes at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: fastadi results


Reference manual: fastadi.pdf


Package source: fastadi_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): fastadi_0.1.1.tgz, r-oldrel (arm64): fastadi_0.1.1.tgz, r-release (x86_64): fastadi_0.1.1.tgz, r-oldrel (x86_64): fastadi_0.1.1.tgz
Old sources: fastadi archive


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