{ "_id": "6a1d738c1d7bb097a0a5112e", "Encoding": "UTF-8", "Package": "fiberLD", "Version": "0.1-8", "Author": "Natalya Pya Arnqvist[aut, cre], Sara Sjöstedt de Luna [aut],\nKonrad Abramowicz [aut]", "Maintainer": "Natalya Pya Arnqvist ", "Title": "Fiber Length Determination", "Date": "2024-01-17", "Description": "Routines for estimating tree fiber (tracheid) length\ndistributions in the standing tree based on increment core\nsamples. Two types of data can be used with the package,\nincrement core data measured by means of an optical fiber\nanalyzer (OFA), e.g. such as the Kajaani Fiber Lab, or measured\nby microscopy. Increment core data analyzed by OFAs consist of\nthe cell lengths of both cut and uncut fibres (tracheids) and\nfines (such as ray parenchyma cells) without being able to\nidentify which cells are cut or if they are fines or fibres.\nThe microscopy measured data consist of the observed lengths of\nthe uncut fibres in the increment core. A censored version of a\nmixture of the fine and fiber length distributions is proposed\nto fit the OFA data, under distributional assumptions (Svensson\net al., 2006) . The\npackage offers two choices for the assumptions of the\nunderlying density functions of the true fiber (fine) lenghts\nof those fibers (fines) that at least partially appear in the\nincrement core, being the generalized gamma and the log normal\ndensities.", "License": "GPL (>= 2)", "LazyLoad": "yes", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-01 11:53:18 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2024-01-18 02:40:28 UTC", "RemoteUrl": "https://github.com/cran/fiberLD", "RemoteRef": "HEAD", "RemoteSha": "16170bf162f9856e4f6c6f450cf95905ba5d6f68", "MD5sum": "8107b71c4c5884b995711260330c9c59", "_user": "cran", "_type": "src", "_file": "fiberLD_0.1-8.tar.gz", "_fileid": "89533445027e9139005789505a2fe9fe35bd06393897e98be99d91faf1ad3399", "_filesize": 237863, "_sha256": "89533445027e9139005789505a2fe9fe35bd06393897e98be99d91faf1ad3399", "_created": "2026-06-01T11:53:18.000Z", "_published": "2026-06-01T11:57:00.206Z", 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