Package: fastadi 0.1.2

Alex Hayes

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.

Authors:Alex Hayes [aut, cre, cph], Juhee Cho [aut], Donggyu Kim [aut], Karl Rohe [aut]

fastadi_0.1.2.tar.gz
fastadi_0.1.2.tar.gz(r-4.7-arm64)fastadi_0.1.2.tar.gz(r-4.7-x86_64)fastadi_0.1.2.tar.gz(r-4.6-arm64)fastadi_0.1.2.tar.gz(r-4.6-x86_64)
fastadi_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
fastadi/json (API)
NEWS

# Install 'fastadi' in R:
install.packages('fastadi', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rohelab/fastadi/issues

Pkgdown/docs site:https://rohelab.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

1.70 score 5 scripts 591 downloads 4 exports 10 dependencies

Last updated from:d83af5e425. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK186
linux-devel-x86_64OK190
source / vignettesOK278
linux-release-arm64OK177
linux-release-x86_64OK182
wasm-releaseOK182

Exports:adaptive_imputeadaptive_initializecitation_imputecitation_impute2

Dependencies:gluelatticeloggerLRMF3MatrixRcppRcppArmadilloRcppEigenrlangRSpectra

Readme and manuals

Help Manual

Help pageTopics
Create an Adaptive Imputation objectadaptive_imputation
AdaptiveImputeadaptive_impute adaptive_impute.LRMF adaptive_impute.sparseMatrix
AdaptiveInitializeadaptive_initialize adaptive_initialize.sparseMatrix
CitationImputecitation_impute citation_impute.LRMF citation_impute.sparseMatrix
CitationImputecitation_impute2 citation_impute2.LRMF citation_impute2.sparseMatrix