{ "_id": "6a27b89d24555f66ed539adb", "Package": "normref", "Title": "Continuous Norming", "Version": "0.1.1", "Authors@R": "c(\nperson(\"Klazien\", \"de Vries\", email = \"klazien.de.vries@rug.nl\", role = \"aut\", comment = c(ORCID = \"0009-0007-9302-1562\")),\nperson(\"Hannah\", \"Heister\", email = \"h.m.heister@rug.nl\", role = \"aut\", comment = c(ORCID = \"0009-0001-1512-5549\")),\nperson(\"Julian\", \"Urban\", email = \"Julian.Urban@gesis.org\", role = \"aut\", comment = c(ORCID = \"0000-0001-8886-4724\")),\nperson(\"Lieke\", \"Voncken\", email = \"Lieke.Voncken@tilburguniversity.edu\", role = \"ctb\", comment = c(ORCID = \"0000-0002-6710-271X\")),\nperson(\"Marieke\", \"Timmerman\", email = \"m.e.timmerman@rug.nl\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-3480-5918\"))\n)", "Description": "A toolbox for continuous norming of psychological and\neducational tests, supporting regression-based norming where\nnorms can vary as a continuous function of age or another norm\npredictor. Norms are estimated using Generalized Additive\nModels for Location, Scale, and Shape (GAMLSS), enabling\nflexible modelling of the full score distribution in a\nnormative sample. The package supports applications in\npsychometrics and psychological testing, and includes functions\nfor model selection, reliability estimation, norm calculation,\nincluding confidence intervals, and sample size planning. For\nmore details, see Timmerman et al. 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