{ "_id": "6a1eb5dcb25058d4daadde1c", "Package": "binspp", "Type": "Package", "Title": "Bayesian Inference for Neyman-Scott Point Processes", "Version": "0.2.3", "Authors@R": "c(\nperson(\"Mrkvicka\", \"Tomas\", email = \"mrkvicka.toma@gmail.com\", role = \"aut\"),\nperson(\"Dvorak\",\"Jiri\", email = \"dvorak@karlin.mff.cuni.cz\", role = \"aut\"),\nperson(\"Beranek\", \"Ladislav\", email = \"beranek@jcu.cz\", role = c(\"aut\")),\nperson(\"Remes\",\"Radim\", email = \"inrem@jcu.cz\", role = c(\"aut\", \"cre\")),\nperson(\"Park\", \"Jaewoo\", email = \"jwpark88@yonsei.ac.kr\", role = \"ctb\"),\nperson(\"Lee\",\"Sujeong\", email = \"dltnwjd2304@gmail.com\", role = \"ctb\")\n)", "Description": "The Bayesian MCMC estimation of parameters for Thomas-type\ncluster point process with various inhomogeneities. It allows\nfor inhomogeneity in (i) distribution of parent points, (ii)\nmean number of points in a cluster, (iii) cluster spread. The\npackage also allows for the Bayesian MCMC algorithm for the\nhomogeneous generalized Thomas process. The cluster size is\nallowed to have a variance that is greater or less than the\nexpected value (cluster sizes are over or under dispersed).\nDetails are described in Dvořák, Remeš, Beránek & Mrkvička\n(2022) .", "License": "GPL-3", "URL": "https://github.com/tomasmrkvicka/binspp", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "Repository": "https://tomasmrkvicka.r-universe.dev", "Date/Publication": "2025-12-04 00:14:45 UTC", "RemoteUrl": "https://github.com/tomasmrkvicka/binspp", "RemoteRef": "HEAD", "RemoteSha": "733d67c6e506bab39f8841b541150c629b716277", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-02 10:33:49 UTC", "User": "root" }, "Author": "Mrkvicka Tomas [aut],\nDvorak Jiri [aut],\nBeranek Ladislav [aut],\nRemes Radim [aut, cre],\nPark Jaewoo [ctb],\nLee Sujeong [ctb]", "Maintainer": "Remes Radim ", "MD5sum": "7b57e3e7d52dffc84f82b013676ed000", "_user": "tomasmrkvicka", "_type": "src", "_file": "binspp_0.2.3.tar.gz", "_fileid": 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