{ "_id": "6a50a7da89c83ec243a2f1e2", "Package": "mixtur", "Title": "Modelling Continuous Report Visual Short-Term Memory Studies", "Version": "1.2.3.9999", "Date": "2026-03-12", "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 or the 3-component mixture model of\nBays et al. (2009) . Users are also able to\nsimulate from these models.", "License": "GPL-3", "LazyData": "true", "URL": "https://github.com/JimGrange/mixtur", "BugReports": "https://github.com/JimGrange/mixtur/issues", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Copyright": "Some functions have been adapted from Matlab code written by\nPaul Bays (https://bayslab.com) published under GNU General\nPublic License.", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://jimgrange.r-universe.dev", "Date/Publication": "2026-03-12 07:12:31 UTC", "RemoteUrl": "https://github.com/jimgrange/mixtur", "RemoteRef": "HEAD", "RemoteSha": "7aa757678b15819cfe0a0e3835b02d2431c500e7", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-10 08:01:13 UTC", "User": "root" }, "Author": "Jim Grange [aut, cre] (ORCID: ),\nStuart B. Moore [aut] (ORCID: ),\nEd D. J. 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