DESCRIPTION

Encoding: UTF-8
Package: bigstatsr
Type: Package
Title: Statistical Tools for Filebacked Big Matrices
Version: 1.6.1
Date: 2024-09-10
Authors@R: c(
  person("Florian", "Privé", email = "florian.prive.21@gmail.com", 
         role = c("aut", "cre")),
  person("Michael", "Blum", role = "ths"),
  person("Hugues", "Aschard", email = "hugues.aschard@pasteur.fr", role = "ths"))
Description: Easy-to-use, efficient, flexible and scalable statistical tools.
  Package bigstatsr provides and uses Filebacked Big Matrices via memory-mapping.
  It provides for instance matrix operations, Principal Component Analysis,
  sparse linear supervised models, utility functions and more
  <doi:10.1093/bioinformatics/bty185>.
License: GPL-3
Language: en-US
ByteCompile: TRUE
Depends: R (>= 3.4)
Imports:
    bigassertr (>= 0.1.1),
    bigparallelr (>= 0.2.3),
    cowplot,
    foreach,
    ggplot2 (>= 3.0),
    graphics,
    methods,
    ps (>= 1.4),
    Rcpp,
    rmio (>= 0.4),
    RSpectra,
    stats,
    tibble,
    utils
LinkingTo: 
    Rcpp,
    RcppArmadillo,
    rmio
Suggests: 
    bigmemory (>= 4.5.33),
    bigreadr (>= 0.2),
    covr,
    data.table,
    dplyr,
    glmnet,
    hexbin,
    memuse,
    ModelMetrics,
    plotly,
    ppcor,
    RhpcBLASctl,
    spelling (>= 1.2),
    testthat
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
URL: https://privefl.github.io/bigstatsr/
BugReports: https://github.com/privefl/bigstatsr/issues
Collate: 
    'AUC.R'
    'FBM-attach.R'
    'crochet.R'
    'FBM.R'
    'FBM-code256.R'
    'FBM-copy.R'
    'RcppExports.R'
    'SVD.R'
    'apply-parallelize.R'
    'biglasso.R'
    'bigstatsr-package.R'
    'colstats.R'
    'crossprodSelf.R'
    'mult-mat.R'
    'mult-vec.R'
    'pcor.R'
    'plot.R'
    'predict.R'
    'randomSVD.R'
    'read-write.R'
    'scaling.R'
    'summary.R'
    'tcrossprodSelf.R'
    'transpose.R'
    'univLinReg.R'
    'univLogReg.R'
    'utils-assert.R'
    'utils.R'
    'zzz.R'