bigstatsr: Statistical Tools for Filebacked Big Matrices

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>.

Version: 0.2.3
Depends: R (≥ 3.3.2)
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, sparseSVM, testthat, viridis
Published: 2017-11-30
Author: Florian Privé [aut, cre], Michael Blum [ths], Hugues Aschard [ths]
Maintainer: Florian Privé <florian.prive.21 at>
License: GPL-3
NeedsCompilation: yes
Citation: bigstatsr citation info
Materials: README NEWS
CRAN checks: bigstatsr results


Reference manual: bigstatsr.pdf
Package source: bigstatsr_0.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: bigstatsr_0.2.3.tgz
OS X Mavericks binaries: r-oldrel: bigstatsr_0.2.3.tgz
Old sources: bigstatsr archive


Please use the canonical form to link to this page.