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: <doi:10.1101/190926>.
spelling, biglasso, bigmemory, covr, glmnet, grid, LiblineaR,
ModelMetrics, sparseSVM, testthat, viridis

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>.
spelling, biglasso, bigmemory, covr, glmnet, grid, LiblineaR,
ModelMetrics, testthat, viridis
'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'

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>.
bigreadr (>= 0.1.3), cowplot, doParallel, foreach, ggplot2 (>=
3.0.0), graphics, methods, parallel, Rcpp, RSpectra, stats,
utils
biglasso, bigmemory (>= 4.5.33), covr, glmnet, grid,
ModelMetrics, RcppEigen, RhpcBLASctl, spelling (>= 1.2),
testthat
'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'