{ "_id": "6a2284eccd65a98ecbd52d27", "Package": "SPEV", "Title": "Unsmoothed and Smoothed Penalized PCA using Nesterov Smoothing", "Version": "1.0.0", "Authors@R": "c(person(\"Rebecca\", \"Hurwitz\", role = c(\"aut\", \"cre\"), email = \"rebeccahurwitz@hsph.harvard.edu\"), person(\"Georg\", \"Hahn\", role = \"ctb\"))", "Maintainer": "Rebecca Hurwitz ", "Description": "We provide functionality to implement penalized PCA with\nan option to smooth the objective function using Nesterov\nsmoothing. Two functions are available to compute a\nuser-specified number of eigenvectors. The function\nunsmoothed_penalized_EV() computes a penalized PCA without\nsmoothing and has three parameters (the input matrix, the Lasso\npenalty, and the number of desired eigenvectors). The function\nsmoothed_penalized_EV() computes a smoothed penalized PCA using\nthe same parameters and additionally requires the specification\nof a smoothing parameter. Both functions return a matrix having\nthe desired eigenvectors as columns.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-05 08:09:12 UTC", "User": "root" }, "Author": "Rebecca Hurwitz [aut, cre], Georg Hahn [ctb]", "Repository": "https://rebeccahurwitz.r-universe.dev", "Date/Publication": "2023-08-17 16:34:10 UTC", "RemoteUrl": "https://github.com/cran/SPEV", "RemoteRef": "HEAD", "RemoteSha": "5275c34932298ee636bd65508931dfc89e714ba8", "MD5sum": "5ce943bee3824100137eaf444071faaa", "_user": "rebeccahurwitz", "_type": "src", "_file": "SPEV_1.0.0.tar.gz", "_fileid": "2e1b94250803019395fd979af14528373b8f53a14dc2fd2addd0907dfac14031", "_filesize": 75347, "_sha256": "2e1b94250803019395fd979af14528373b8f53a14dc2fd2addd0907dfac14031", "_created": "2026-06-05T08:09:12.000Z", "_published": "2026-06-05T08:12:28.704Z", "_distro": "noble", "_jobs": [ { "job": 79689282206, "time": 93, "config": "linux-devel-x86_64", 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