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>.
Version: 1.6.1 Depends: R (≥ 3.4) Imports: bigassertr (≥ 0.1.1), 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 Published: 2024-09-09 DOI: 10.32614/CRAN.package.bigstatsr Author: Florian Privé [aut, cre], Michael Blum [ths], Hugues Aschard [ths] Maintainer: Florian Privé <florian.prive.21 at gmail.com> BugReports: https://github.com/privefl/bigstatsr/issues License: GPL-3 URL: https://privefl.github.io/bigstatsr/ NeedsCompilation: yes Language: en-US Citation: bigstatsr citation info Materials: README NEWS In views: HighPerformanceComputing CRAN checks: bigstatsr resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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