{ "_id": "6ab1a0023d719c1f8408852c", "Package": "matsketch", "Title": "Randomized Matrix Computations from Few Entries and Products", "Version": "0.1.0", "Authors@R": "person(\"Muhammad\", \"Farooqi\", email = \"mqfarooqi@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-4918-9791\"))", "Description": "Implements recent randomized algorithms that answer\nquestions about a large positive-semidefinite matrix while\ntouching only a small part of it. Randomly pivoted Cholesky\nbuilds a low-rank approximation from a few rows of a kernel\nmatrix (Chen, Epperly, Tropp and Webber (2025)\n), with an accelerated variant based on\nrejection sampling (Epperly, Tropp and Webber (2025)\n). The XTrace, XNysTrace and XDiag\nestimators recover the trace and diagonal of a matrix that is\navailable only through matrix-vector products (Epperly, Tropp\nand Webber (2024) ), alongside the\nHutch++ estimator of Meyer, Musco, Musco and Woodruff (2021)\n. Randomized Nystrom\npreconditioning speeds up the conjugate gradient method for\nregularized linear systems (Frangella, Tropp and Udell (2023)\n). These pieces are combined to fit\nrestricted maximum likelihood variance-component models on\ngenomic relationship matrices without forming or factorizing\nthe covariance matrix.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-GB", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "URL": "https://github.com/mqfarooqi1/matsketch,\nhttps://mqfarooqi1.github.io/matsketch/", "BugReports": "https://github.com/mqfarooqi1/matsketch/issues", "Config/roxygen2/version": "8.1.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-21 21:19:33 UTC", "User": "root" }, "Author": "Muhammad Farooqi [aut, cre] (ORCID:\n)", "Maintainer": "Muhammad Farooqi ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-09-21 19:36:04 UTC", "RemoteUrl": "https://github.com/cran/matsketch", "RemoteRef": "HEAD", "RemoteSha": "330ad41b699ee992570a88531e4ad45a5e0fa84b", "_user": "cran", "_type": "src", "_file": "matsketch_0.1.0.tar.gz", "_fileid": 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