{ "_id": "6ad09d76576abc75bd5cda62", "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": "2026-10-15 09:19:06 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", "_user": "rebeccahurwitz", "_type": "src", "_file": "SPEV_1.0.0.tar.gz", "_fileid": "https://r2.ropensci.org/e1d33296b80116906dd05b4b2cb5cbc96d9e60690be1c24187c52f10a713f5b9", "_filesize": 76271, "_sha256": "e1d33296b80116906dd05b4b2cb5cbc96d9e60690be1c24187c52f10a713f5b9", "_expires": "2027-01-23T09:31:32.000Z", "_created": "2026-10-15T09:19:06.000Z", "_published": "2026-10-15T09:31:34.526Z", "_buildurl": 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