Package: fastadi 0.1.1

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', <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.

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

fastadi_0.1.1.tar.gz
fastadi_0.1.1.tar.gz(r-4.5-noble)fastadi_0.1.1.tar.gz(r-4.4-noble)
fastadi_0.1.1.tgz(r-4.4-emscripten)fastadi_0.1.1.tgz(r-4.3-emscripten)
fastadi.pdf |fastadi.html✨
fastadi/json (API)
NEWS

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

Peer review:

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

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

1.70 score 6 scripts 217 downloads 3 exports 11 dependencies

Last updated 2 years agofrom:ef09f2312e. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 11 2024
R-4.5-linux-x86_64NOTEOct 11 2024

Exports:adaptive_imputeadaptive_initializecitation_impute

Dependencies:ellipsisgluelatticeloggerLRMF3MatrixRcppRcppArmadilloRcppEigenrlangRSpectra

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