Encoding: UTF-8
Package: bigstatsr
Type: Package
Title: Statistical Tools for Filebacked Big Matrices
Version: 0.2.4
Date: 2018-01-31
Authors@R: c(
  person("Florian", "Privé", 
         email = "florian.prive.21@gmail.com", 
         role = c("aut", "cre")),
  person("Michael", "Blum", 
         email = "michael.blum@univ-grenoble-alpes.fr", 
         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.
  Preprint: Privé et al. (2017) <doi:10.1101/190926>.
License: GPL-3
Language: en-US
LazyData: TRUE
ByteCompile: TRUE
Depends: R (>= 3.2.3)
Imports: cowplot, doParallel, foreach, ggplot2, glue, graphics,
        magrittr, Matrix, methods, parallel, Rcpp, RSpectra, stats
LinkingTo: BH, Rcpp, RcppArmadillo
Suggests: spelling, biglasso, bigmemory, covr, glmnet, grid, LiblineaR,
        ModelMetrics, testthat, viridis
RoxygenNote: 6.0.1
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.R' 'colstats.R' 'counts.R'
        'crossprodSelf.R' 'plot.R' 'predict.R' 'randomSVD.R' 'read.R'
        'scaling.R' 'tcrossprodSelf.R' 'transpose.R' 'univLinReg.R'
        'univLogReg.R' 'utils-assert.R' 'utils-mult.R' 'utils.R'
        'zzz.R'
NeedsCompilation: yes
Packaged: 2018-01-31 22:09:45 UTC; privef
Author: Florian Privé [aut, cre],
  Michael Blum [ths],
  Hugues Aschard [ths]
Maintainer: Florian Privé <florian.prive.21@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-31 23:02:47 UTC
