{ "_id": "6a115201acfb0bcc41cea86c", "Package": "psvd", "Version": "1.1-0", "Date": "2025-11-22", "Title": "Eigendecomposition, Singular-Values and the Power Method", "Authors@R": "person(given = \"Doulaye\",\nfamily = \"Dembele\",\nrole = c(\"aut\",\"cre\"),\nemail = \"doulaye@igbmc.fr\",\ncomment = c(ORCID = \"0000-0003-3879-6940\"))", "Author": "Doulaye Dembele [aut, cre] (ORCID:\n)", "Maintainer": "Doulaye Dembele ", "Description": "For a data matrix with m rows and n columns (m>=n), the\npower method is used to compute, simultaneously, the\neigendecomposition of a square symmetric matrix. This result is\nused to obtain the singular value decomposition (SVD) and the\nprincipal component analysis (PCA) results. Compared to the\nclassical SVD method, the first r singular values can be\ncomputed.", "License": "GPL (>= 2)", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-23 07:02:28 UTC", "User": "root" }, "Repository": "https://doulaye.r-universe.dev", "Date/Publication": "2025-11-23 13:30:02 UTC", "RemoteUrl": "https://github.com/cran/psvd", "RemoteRef": "HEAD", "RemoteSha": "bac75b881915ce226208f889e73171786e8eedb4", "MD5sum": "3282cd455aec03478a1b692c494f6fde", "_user": "doulaye", "_type": "src", "_file": "psvd_1.1-0.tar.gz", "_fileid": "df26f85d949e77d213558cd9fa50dcc22f2666a0bfd32b0a9bbd8259b48fee8d", "_filesize": 98099, "_sha256": "df26f85d949e77d213558cd9fa50dcc22f2666a0bfd32b0a9bbd8259b48fee8d", "_created": "2026-05-23T07:02:28.000Z", "_published": "2026-05-23T07:06:41.279Z", "_distro": "noble", "_jobs": [ { "job": 77504941879, "time": 108, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7175152835" }, { "job": 77504941870, "time": 96, "config": 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