DESCRIPTION

Type: Package
Package: fastadi
Title: Self-Tuning Data Adaptive Matrix Imputation
Version: 0.1.1.9001
Authors@R: 
    c(person(given = "Alex",
             family = "Hayes",
             role = c("aut", "cre", "cph"),
             email = "alexpghayes@gmail.com",
             comment = c(ORCID = "0000-0002-4985-5160")),
      person(given = "Juhee",
             family = "Cho",
             role = "aut"),
      person(given = "Donggyu",
             family = "Kim",
             role = "aut"),
      person(given = "Karl",
             family = "Rohe",
             role = "aut"))
Description: 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.
License: MIT + file LICENSE
URL: https://rohelab.github.io/fastadi/, https://github.com/RoheLab/fastadi
BugReports: https://github.com/RoheLab/fastadi/issues
Depends: 
    LRMF3,
    Matrix,
    R (>= 3.1)
Imports: 
    glue,
    logger,
    methods,
    Rcpp,
    rlang,
    RSpectra,
Suggests: 
    invertiforms,
    covr,
    knitr,
    rmarkdown,
    testthat (>= 3.0.0)
LinkingTo: 
    Rcpp,
    RcppArmadillo
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE, roclets = c ("namespace", "rd"))
RoxygenNote: 7.3.1.9000
Config/testthat/edition: 3