Encoding: UTF-8
Package: bigstatsr
Type: Package
Title: Statistical Tools for Filebacked Big Matrices
Version: 0.6.2
Date: 2018-08-13
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
  <doi:10.1093/bioinformatics/bty185>.
License: GPL-3
Language: en-US
LazyData: TRUE
ByteCompile: TRUE
Depends: R (>= 3.3.0)
Imports: bigreadr (>= 0.1.3), cowplot, doParallel, foreach, ggplot2 (>=
        3.0.0), graphics, methods, parallel, Rcpp, RSpectra, stats,
        utils
LinkingTo: BH, Rcpp, RcppArmadillo
Suggests: biglasso, bigmemory (>= 4.5.33), covr, glmnet, grid,
        ModelMetrics, RcppEigen, RhpcBLASctl, spelling (>= 1.2),
        testthat
RoxygenNote: 6.1.0
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' 'mult.R' 'plot.R' 'predict.R' 'randomSVD.R'
        'read.R' 'scaling.R' 'tcrossprodSelf.R' 'transpose.R'
        'univLinReg.R' 'univLogReg.R' 'utils-assert.R' 'utils.R'
        'zzz.R'
NeedsCompilation: yes
Packaged: 2018-08-16 18:14:51 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: 2018-08-17 13:10:05 UTC
