{ "_id": "6a1ee025b401979e73410751", "Package": "MPTinR", "Type": "Package", "Title": "Analyze Multinomial Processing Tree Models", "Version": "1.14.1", "Authors@R": "c(person(\"Henrik\", \"Singmann\", role = c(\"aut\", \"cre\"),\nemail = \"singmann@gmail.com\"),\nperson(\"David\", \"Kellen\", role = \"aut\"),\nperson(\"Quentin\", \"Gronau\", role = \"aut\"),\nperson(\"Christian\", \"Mueller\", role = \"ctb\"),\nperson(\"Akhil S\", \"Bhel\", role = \"ctb\"))", "Description": "Provides a user-friendly way for the analysis of\nmultinomial processing tree (MPT) models (e.g., Riefer, D. M.,\nand Batchelder, W. H. [1988]. Multinomial modeling and the\nmeasurement of cognitive processes. Psychological Review, 95,\n318-339) for single and multiple datasets. The main functions\nperform model fitting and model selection. Model selection can\nbe done using AIC, BIC, or the Fisher Information Approximation\n(FIA) a measure based on the Minimum Description Length (MDL)\nframework. The model and restrictions can be specified in\nexternal files or within an R script in an intuitive syntax or\nusing the context-free language for MPTs. The 'classical' .EQN\nfile format for model files is also supported. Besides MPTs,\nthis package can fit a wide variety of other cognitive models\nsuch as SDT models (see fit.model). 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