{ "_id": "6a3a49a56265ec60d620c97d", "Package": "palm", "Type": "Package", "Title": "Fitting Point Process Models via the Palm Likelihood", "Version": "1.1.6", "Date": "2025-07-25", "Authors@R": "person(given = \"Ben\",\nfamily = \"Stevenson\",\nrole = c(\"aut\", \"cre\"),\nemail = \"ben.stevenson@auckland.ac.nz\")", "Description": "Functions to fit point process models using the Palm\nlikelihood. First proposed by Tanaka, Ogata, and Stoyan (2008)\n, maximisation of the Palm\nlikelihood can provide computationally efficient parameter\nestimation for point process models in situations where the\nfull likelihood is intractable. This package is chiefly focused\non Neyman-Scott point processes, but can also fit the void\nprocesses proposed by Jones-Todd et al. (2019)\n. The development of this package was\nmotivated by the analysis of capture-recapture surveys on which\nindividuals cannot be identified---the data from which can\nconceptually be seen as a clustered point process (Stevenson,\nBorchers, and Fewster, 2019 ). As such,\nsome of the functions in this package are specifically for the\nestimation of cetacean density from two-camera aerial surveys.", "License": "GPL", "URL": "https://github.com/b-steve/palm", "LazyData": "TRUE", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "make libgsl0-dev", "Repository": "https://b-steve.r-universe.dev", "Date/Publication": "2025-07-25 05:07:01 UTC", "RemoteUrl": "https://github.com/b-steve/palm", "RemoteRef": "HEAD", "RemoteSha": "83ba7fe1460b34f30cf416ad907ad92687f09ada", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-23 08:48:20 UTC", "User": "root" }, "Author": "Ben Stevenson [aut, cre]", "Maintainer": "Ben Stevenson ", "MD5sum": "780887899e72f96fb2a048bb0885fec0", "_user": "b-steve", "_type": "src", "_file": "palm_1.1.6.tar.gz", "_fileid": "bcfdec4b812bd07dce3e364d6baba8cab681cd8577aa869072d1acee663b4d7a", "_filesize": 176609, "_sha256": "bcfdec4b812bd07dce3e364d6baba8cab681cd8577aa869072d1acee663b4d7a", "_created": 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