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: Privé et al. (2017) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2.4 by Florian Privé, 5 months ago

Report a bug at

Browse source code at

Authors: Florian Privé [aut, cre], Michael Blum [ths], Hugues Aschard [ths]

Documentation:   PDF Manual  

GPL-3 license

Imports cowplot, doParallel, foreach, ggplot2, glue, graphics, magrittr, Matrix, methods, parallel, Rcpp, RSpectra, stats

Suggests spelling, biglasso, bigmemory, covr, glmnet, grid, LiblineaR, ModelMetrics, testthat, viridis

Linking to BH, Rcpp, RcppArmadillo

See at CRAN