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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=fastadi
to link to this page.