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  "Title": "Modelling Continuous Report Visual Short-Term Memory Studies",
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  "Authors@R": "c(\nperson(\ngiven = \"Jim\",\nfamily = \"Grange\",\nrole = c(\"aut\", \"cre\"),\nemail = \"grange.jim@gmail.com\",\ncomment = c(ORCID = \"0000-0002-8352-8390\")\n),\nperson(\ngiven = \"Stuart B.\",\nfamily = \"Moore\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-0747-9304\")\n),\nperson(\ngiven = \"Ed D. J.\",\nfamily = \"Berry\",\nrole = c(\"ctb\")\n),\nperson(\ngiven = \"Vencislav\",\nfamily = \"Popov\",\nrole = c(\"ctb\"),\ncomment = c(ORCID = \"0000-0002-8073-4199\")\n))",
  "Description": "A set of utility functions for analysing and modelling\ndata from continuous report short-term memory experiments using\neither the 2-component mixture model of Zhang and Luck (2008)\n<doi:10.1038/nature06860> or the 3-component mixture model of\nBays et al. (2009) <doi:10.1167/9.10.7>. Users are also able to\nsimulate from these models.",
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  "Copyright": "Some functions have been adapted from Matlab code written by\nPaul Bays (https://bayslab.com) published under GNU General\nPublic License.",
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  "Repository": "https://jimgrange.r-universe.dev",
  "Date/Publication": "2026-03-12 07:12:31 UTC",
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