Statistical Tools for Filebacked Big Matrices R package bigstatsr version 1.6.2 CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing) 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>. Software Depends: R (>= 3.4) Imports: bigassertr (>= 0.1.7), bigparallelr (>= 0.2.3), cowplot, foreach, ggplot2 (>= 3.0), graphics, methods, ps (>= 1.4), Rcpp, rmio (>= 0.4), RSpectra, stats, tibble, utils LinkingTo: Rcpp, RcppArmadillo, rmio Suggests: bigmemory (>= 4.5.33), bigreadr (>= 0.2), covr, data.table, dplyr, glmnet, hexbin, memuse, ModelMetrics, plotly, ppcor, RhpcBLASctl, spelling (>= 1.2), testthat Florian Privé <florian.prive.21@gmail.com> Comprehensive R Archive Network (CRAN) Florian Privé [aut, cre], Michael Blum [ths], Hugues Aschard [ths] GPL-3 2025-07-29 application/tgz https://CRAN.R-project.org/package=bigstatsr doi:10.32614/CRAN.package.bigstatsr en-US