fastadi: Self-Tuning Data Adaptive Matrix Imputation

Implements the AdaptiveImpute matrix completion algorithm of 'Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion', <https://amstat.tandfonline.com/doi/abs/10.1080/10618600.2018.1518238>. 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 [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://github.com/RoheLab/fastadi
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	fastadi results

Documentation:

Reference manual:

fastadi.pdf

Downloads:

Package source:	fastadi_0.1.1.tar.gz
Windows binaries:	r-devel: fastadi_0.1.1.zip, r-release: fastadi_0.1.1.zip, r-oldrel: fastadi_0.1.1.zip
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

Linking:

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