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Since the\nprocedure is computationally fast, a level-dependent cross\nvalidation can be performed for wavelet shrinkage of various\ndata such as a data with correlated errors.", "License": "GPL (>= 2)", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-23 06:01:39 UTC", "User": "root" }, "Repository": "https://dkimstatlab.r-universe.dev", "Date/Publication": "2022-05-02 02:20:02 UTC", "RemoteUrl": "https://github.com/cran/CVThresh", "RemoteRef": "HEAD", "RemoteSha": "8da55e104bb57a9f1ba0df3ba2c1e27e4601e4ee", "MD5sum": "996b3378e5d0f82124d9bb07227e8e09", "_user": "dkimstatlab", "_type": "src", "_file": "CVThresh_1.1.2.tar.gz", "_fileid": "5da6e1b8f263e7140cd8f3762b3ddf13fafb5e5c4b65e4356296300da5a5f5f7", "_filesize": 211362, "_sha256": "5da6e1b8f263e7140cd8f3762b3ddf13fafb5e5c4b65e4356296300da5a5f5f7", "_created": "2026-05-23T06:01:39.000Z", "_published": "2026-05-23T06:03:58.534Z", "_distro": "noble", "_jobs": [ { "job": 77501712766, "time": 107, "config": 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