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  "Date": "2026-03-20",
  "Title": "Probabilistic Knowledge Structures",
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  "Description": "Fitting and testing probabilistic knowledge structures,\nespecially the basic local independence model (BLIM, Doignon &\nFlamagne, 1999) and the simple learning model (SLM), using the\nminimum discrepancy maximum likelihood (MDML) method (Heller &\nWickelmaier, 2013 <doi:10.1016/j.endm.2013.05.145>).",
  "License": "GPL (>= 2)",
  "URL": "https://www.mathpsy.uni-tuebingen.de/wickelmaier/",
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    "User": "root"
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  "Author": "Florian Wickelmaier [aut, cre], Juergen Heller [aut], Julian\nMollenhauer [aut], Pasquale Anselmi [ctb], Debora de Chiusole\n[ctb], Andrea Brancaccio [ctb], Luca Stefanutti [ctb], Paul\nDoerrbecker [ctb]",
  "Maintainer": "Florian Wickelmaier <wickelmaier@web.de>",
  "Repository": "https://cran.r-universe.dev",
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    "is.backward.graded",
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    "is.forward.graded",
    "is.subset",
    "ita",
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      "file": "hsgeometry.rda",
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      ],
      "fields": [],
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      "tojson": false
    },
    {
      "name": "chess",
      "title": "Responses to Chess Problems and Knowledge Structures",
      "object": "chess",
      "file": "chess.rda",
      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
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      "title": "Responses to Geometry Problems and Knowledge Structures",
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      "object": "DoignonFalmagne7",
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    },
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      "title": "Basic Local Independence Models (BLIMs)",
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        "blim",
        "blimMD",
        "coef.blim",
        "deviance.blim",
        "logLik.blim",
        "nobs.blim"
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      "topics": [
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    },
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    },
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        "conversion",
        "is.subset"
      ]
    },
    {
      "page": "delineate",
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        "delineate"
      ]
    },
    {
      "page": "DoignonFalmagne7",
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        "circles",
        "hsgeometry"
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    },
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        "print.ita"
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    },
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      "title": "Jacobian Matrix for Basic Local Independence Model",
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      "title": "Predict Knowledge States from Basic Local Independence Models (BLIMs)",
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      "topics": [
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    },
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    },
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