{ "_id": "6a575374ff0138dec5d708a6", "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. (2024)\n.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "URL": "https://matthiaskloft.github.io/intervalpsych/,\nhttps://github.com/matthiaskloft/intervalpsych", "BugReports": "https://github.com/matthiaskloft/intervalpsych/issues", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Biarch": "true", "SystemRequirements": "GNU make", "LazyData": "true", "Config/testthat/edition": "3", "Config/Needs/website": "rmarkdown", "Config/pak/sysreqs": "make", "Repository": "https://matthiaskloft.r-universe.dev", "Date/Publication": "2025-12-13 20:35:37 UTC", "RemoteUrl": "https://github.com/matthiaskloft/intervalpsych", "RemoteRef": "HEAD", "RemoteSha": "d59b08bad6b532799551abdd53fba7c46d130edc", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-15 09:11:30 UTC", "User": "root" }, "Author": "Matthias Kloft [aut, cre, cph] (ORCID:\n),\nBjörn S. 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