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  "Title": "Incremental Mixture Approximate Bayesian Computation (IMABC)",
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  "Authors@R": "c(\nperson(\ngiven = \"Carolyn\",\nfamily = \"Rutter\",\nrole = c(\"aut\", \"cph\"),\nemail = \"crutter@fredhutch.org\",\ncomment = c(ORCID = \"0000-0002-4396-8594\")\n),\nperson(\ngiven = \"Jonathan\",\nfamily = \"Ozik\",\nrole = c(\"aut\"),\nemail = \"jozik@anl.gov\",\ncomment = c(ORCID = \"0000-0002-3495-6735\")\n),\nperson(\ngiven = \"Nicholson\",\nfamily = \"Collier\",\nrole = c(\"aut\"),\nemail = \"ncollier@anl.gov\",\ncomment = c(ORCID = \"0000-0002-2376-4156\")\n),\nperson(\ngiven = \"Christopher, E.\",\nfamily = \"Maerzluft\",\nrole = c(\"aut\", \"cre\"),\nemail = \"cmaerzlu@fredhutch.org\"\n)\n)",
  "Description": "Provides functionality to perform a likelihood-free method\nfor estimating the parameters of complex models that results in\na simulated sample from the posterior distribution of model\nparameters given targets. The method begins with a\naccept/reject approximate bayes computation (ABC) step applied\nto a sample of points from the prior distribution of model\nparameters. Accepted points result in model predictions that\nare within the initially specified tolerance intervals around\nthe target points. The sample is iteratively updated by drawing\nadditional points from a mixture of multivariate normal\ndistributions, accepting points within tolerance intervals. As\nthe algorithm proceeds, the acceptance intervals are narrowed.\nThe algorithm returns a set of points and sampling weights that\naccount for the adaptive sampling scheme. For more details see\nRutter, Ozik, DeYoreo, and Collier (2018) <arXiv:1804.02090>.",
  "License": "GPL-3",
  "URL": "https://github.com/c-rutter/imabc",
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  "Repository": "https://c-rutter.r-universe.dev",
  "Date/Publication": "2023-03-21 18:58:24 UTC",
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  "Author": "Carolyn Rutter [aut, cph] (ORCID:\n<https://orcid.org/0000-0002-4396-8594>),\nJonathan Ozik [aut] (ORCID: <https://orcid.org/0000-0002-3495-6735>),\nNicholson Collier [aut] (ORCID:\n<https://orcid.org/0000-0002-2376-4156>),\nChristopher, E. Maerzluft [aut, cre]",
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      "title": "Define Target Function(s)",
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      "page": "imabc",
      "title": "Incremental Mixture Approximate Bayesian Computation (IMABC)",
      "topics": [
        "imabc"
      ]
    },
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      "page": "PriorsSpecification",
      "title": "Specify the Prior Distributions for All Parameters",
      "topics": [
        "add_prior",
        "as.priors",
        "define_priors",
        "PriorsSpecification"
      ]
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      "title": "Read Previous Results",
      "topics": [
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      "page": "TargetsSpecifications",
      "title": "Specify Targets",
      "topics": [
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        "as.targets",
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        "group_targets",
        "TargetsSpecifications"
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