Encoding: UTF-8 Package: bigstatsr Type: Package Title: Statistical Tools for Filebacked Big Matrices Version: 1.6.3 Date: 2025-06-30 Authors@R: c( person("Florian", "Privé", email = "florian.prive.21@gmail.com", role = c("aut", "cre")), person("Michael", "Blum", role = "ths"), person("Hugues", "Aschard", email = "hugues.aschard@pasteur.fr", role = "ths")) Description: 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 . License: GPL-3 Language: en-US ByteCompile: TRUE 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 RoxygenNote: 7.3.3 Roxygen: list(markdown = TRUE) URL: https://privefl.github.io/bigstatsr/ BugReports: https://github.com/privefl/bigstatsr/issues Collate: '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-package.R' 'colstats.R' 'crossprodSelf.R' 'mult-mat.R' 'mult-vec.R' 'pcor.R' 'plot.R' 'predict.R' 'randomSVD.R' 'read-write.R' 'scaling.R' 'summary.R' 'tcrossprodSelf.R' 'transpose.R' 'univLinReg.R' 'univLogReg.R' 'utils-assert.R' 'utils.R' 'zzz.R' Repository: https://privefl.r-universe.dev Date/Publication: 2026-06-05 05:19:45 UTC RemoteUrl: https://github.com/privefl/bigstatsr RemoteRef: HEAD RemoteSha: 99fb318025ca3edff1d0d1639459a1dcb2267c11 NeedsCompilation: yes Packaged: 2026-06-24 03:40:57 UTC; root Author: Florian Privé [aut, cre], Michael Blum [ths], Hugues Aschard [ths] Maintainer: Florian Privé