{
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  "Title": "Pattern-Oriented Ensemble Modeling System",
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  "Authors@R": "c(\nperson(\"Sean\", \"Haythorne\", email = \"sean.haythorne@unimelb.edu.au\", role = \"aut\"),\nperson(\"Damien\", \"Fordham\", email = \"damien.fordham@adelaide.edu.au\", role = \"aut\"),\nperson(\"Stuart\", \"Brown\", email = \"stuart.brown@sa.gov.au\", role = \"aut\", comment = c(ORCID = \"0000-0002-0669-1418\")),\nperson(\"Jessie\", \"Buettel\", email = \"jessie.buettel@utas.edu.au\", role = \"aut\"),\nperson(\"Barry\", \"Brook\", email = \"barry.brook@utas.edu.au\", role = \"aut\"),\nperson(\"July\", \"Pilowsky\", email = \"pilowskyj@caryinstitute.org\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-6376-2585\")))",
  "Description": "A framework of interoperable R6 classes (Chang, 2020,\n<https://CRAN.R-project.org/package=R6>) for building ensembles\nof viable models via the pattern-oriented modeling (POM)\napproach (Grimm et al.,2005, <doi:10.1126/science.1116681>).\nThe package includes classes for encapsulating and generating\nmodel parameters, and managing the POM workflow. The workflow\nincludes: model setup; generating model parameters via Latin\nhyper-cube sampling (Iman & Conover, 1980,\n<doi:10.1080/03610928008827996>); running multiple sampled\nmodel simulations; collating summary results; and validating\nand selecting an ensemble of models that best match known\npatterns. By default, model validation and selection utilizes\nan approximate Bayesian computation (ABC) approach (Beaumont et\nal., 2002, <doi:10.1093/genetics/162.4.2025>), although\nalternative user-defined functionality could be employed. The\npackage includes a spatially explicit demographic population\nmodel simulation engine, which incorporates default\nfunctionality for density dependence, correlated environmental\nstochasticity, stage-based transitions, and distance-based\ndispersal. The user may customize the simulator by defining\nfunctionality for translocations, harvesting, mortality, and\nother processes, as well as defining the sequence order for the\nsimulator processes. The framework could also be adapted for\nuse with other model simulators by utilizing its extendable\n(inheritable) base classes.",
  "Language": "en-AU",
  "License": "GPL-3",
  "URL": "https://github.com/GlobalEcologyLab/poems,\nhttps://globalecologylab.github.io/poems/",
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  "Repository": "https://globalecologylab.r-universe.dev",
  "Date/Publication": "2025-11-11 17:44:18 UTC",
  "RemoteUrl": "https://github.com/globalecologylab/poems",
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  "Packaged": {
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  "Author": "Sean Haythorne [aut],\nDamien Fordham [aut],\nStuart Brown [aut] (ORCID: <https://orcid.org/0000-0002-0669-1418>),\nJessie Buettel [aut],\nBarry Brook [aut],\nJuly Pilowsky [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-6376-2585>)",
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