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. A scientific paper associated with this package is in preparation.


News

Reference manual

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

install.packages("bigstatsr")

0.2.2 by Florian Privé, 3 months ago


https://privefl.github.io/bigstatsr


Report a bug at https://github.com/privefl/bigstatsr/issues


Browse source code at https://github.com/cran/bigstatsr


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 biglasso, bigmemory, covr, glmnet, grid, LiblineaR, sparseSVM, testthat, viridis

Linking to BH, Rcpp, RcppArmadillo


See at CRAN