Package: gputools Version: 2.1.1 Title: GPU Drop-Ins for Statistics on Wide Data Authors@R: c(person("Josh", "Buckner", email = "nullsatz@gmail.com", role = c("aut", "cre")), person("Mark", "Seligman", email = "mseligman@suiji.org", role = "aut"), person("Fan", "Meng", email = "mengf@umich.edu", role = "aut"), person("Justin", "Wilson", role = "ctb")) Depends: R (>= 4.0.0) Imports: utils Suggests: testthat (>= 3.0.0), knitr, rmarkdown Config/testthat/edition: 3 VignetteBuilder: knitr SystemRequirements: NVIDIA CUDA toolkit (>= 11.7); an NVIDIA GPU to run the GPU functions Description: GPU versions of base R statistics for data with many variables, using the NVIDIA 'CUDA' toolkit: correlation matrices (Pearson, Spearman and Kendall) and their tests, the strongest correlated pairs among tens of thousands of variables without forming the matrix, association scans with covariates as in expression quantitative trait loci studies (Shabalin 2012 ), permutation tests with Westfall-Young maxT adjustment, distance matrices, hierarchical and k-means clustering, Granger causality tests, B-spline mutual information, principal components, and least-squares fits. Results agree with the base R functions they replace. Without 'CUDA' the package installs, and its functions explain how to get a 'CUDA' build. Described in Buckner et al. (2010) . License: GPL-3 URL: https://nullsatz.github.io/gputools/, https://github.com/nullsatz/gputools BugReports: https://github.com/nullsatz/gputools/issues Config/pak/sysreqs: nvidia-cuda-dev Repository: https://nullsatz.r-universe.dev Date/Publication: 2026-10-20 15:57:50 UTC RemoteUrl: https://github.com/nullsatz/gputools RemoteRef: HEAD RemoteSha: ecf9ed3721c2b6027ff3c677180b33430057ed48 NeedsCompilation: yes Packaged: 2026-10-20 19:37:41 UTC; root Author: Josh Buckner [aut, cre], Mark Seligman [aut], Fan Meng [aut], Justin Wilson [ctb] Maintainer: Josh Buckner