{ "_id": "6a1f3892b401979e73428df4", "Package": "intervalpsych", "Title": "Analyzing Interval Data in Psychometrics", "Version": "0.1.0.9000", "Maintainer": "Matthias Kloft ", "Authors@R": "c(person(\"Matthias\", \"Kloft\",\nemail = \"kloft.dev+intervalpsych@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0003-1845-6957\")),\nperson(\"Björn S.\", \"Siepe\",\nemail = \"bjoernsiepe@gmail.com\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-9558-4648\")))", "Description": "Implements the Interval Consensus Model (ICM) for\nanalyzing continuous bounded interval-valued responses in\npsychometrics using 'Stan' for Bayesian estimation. Provides\nfunctions for transforming interval data to simplex\nrepresentations, fitting item response theory (IRT) models with\nisometric log-ratio (ILR) and sum log-ratio (SLR) link\nfunctions, and visualizing results. The package enables\naggregation and analysis of interval-valued response data\ncommonly found in psychological measurement and related\ndisciplines. Based on Kloft et al. 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