{ "_id": "6ac8c7dfde46216d5edd7147", "Package": "MiCT", "Type": "Package", "Title": "Minimal Important Change and Threshold Estimation", "Version": "2.0.0", "Authors@R": "c(\nperson(\ngiven = \"Iris\",\nfamily = \"Eekhout\",\nrole = \"aut\",\nemail = \"iris.eekhout@tno.nl\",\ncomment = \"Original package author\"\n),\nperson(\ngiven = \"Berend\",\nfamily = \"Terluin\",\nrole = \"aut\",\nemail = \"berend@terluin.net\"\n),\nperson(\ngiven = \"Yong-Hao\",\nfamily = \"Pua\",\nrole = c(\"aut\", \"cre\"),\nemail = \"gmspuyh@duke-nus.edu.sg\"\n)\n)", "Description": "Provides methods for estimating minimal important change\n(MIC) and interpretation thresholds for multi-item\nquestionnaires and single-item continuous or ordinal measures.\nMethods include predictive modelling, adjusted predictive\nmodelling, improved adjusted predictive modelling using anchor\nreliability, confirmatory factor analysis for anchor\nreliability, longitudinal confirmatory factor analysis for MIC\nestimation, longitudinal confirmatory factor analysis-based MIC\nestimation for single-item measures, and confirmatory factor\nanalysis-based threshold estimation for single-item and\nmulti-item measures. Implemented methods include those\ndeveloped by Terluin et al. (2015)\n, Terluin et al. (2017)\n, Terluin et al. (2022)\n, Terluin et al. (2023)\n, Terluin et al. (2024)\n, Terluin et al. (2024)\n, and Terluin et al. 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