{ "_id": "6adc4f88ad718eea59ecc578", "Package": "irtQ", "Type": "Package", "Title": "Unidimensional Item Response Theory Modeling", "Version": "1.4.0", "Date": "2026-10-16", "Description": "Fits unidimensional item response theory (IRT) models to\ntest data that include dichotomous and polytomous items,\ncalibrates pretest items with fixed item and fixed ability\nparameter calibration, performs multiple-group calibration,\nestimates the abilities of examinees, and evaluates model-data\nfit at the item level. It also provides tools for detecting\ndifferential item functioning and item parameter drift, for\ncomputing classification accuracy and consistency, and for\nevaluating and simulating multistage-adaptive test panels,\ntogether with classical test theory functions for item- and\ntest-level statistics (e.g., item difficulty, item-total\ncorrelation, and coefficient alpha) and for scoring\nselected-response item data. The bring.flexmirt() and\nwrite.flexmirt() functions were written by modifying the\nread.flexmirt() function (Pritikin & Falk (2020)\n). The bring.bilog() and\nbring.parscale() functions were written by modifying the\nread.bilog() and read.parscale() functions, respectively (Weeks\n(2010) ). The bisection() function\nwas written by modifying the bisection() function (Howard\n(2017, ISBN:9780367657918)). The code of the inverse test\ncharacteristic curve scoring in the est_score() function was\nwritten by modifying the irt.eq.tse() function (Gonzalez (2014)\n). In est_score() function, the code\nof weighted likelihood estimation method was written by\nreferring to the Pi(), Ji(), and Ii() functions of the 'catR'\npackage (Magis & Barrada (2017) ).", "License": "GPL (>= 2)", "Encoding": "UTF-8", "LazyData": "true", "Authors@R": "c(person(\"Hwanggyu\", \"Lim\", email=\"hglim83@gmail.com\", role=c(\"aut\", \"cre\")), \nperson(\"Craig S.\", \"Wells\", email=\"cswells@educ.umass.edu\", role=\"ctb\"),\nperson(\"James\", \"Howard\", email=\"jh@jameshoward.us\", role=\"ctb\"),\nperson(\"Joshua\", \"Pritikin\", email=\"jpritikin@pobox.com\", role=\"ctb\"),\nperson(\"Jonathan P\", \"Weeks\", email=\"weeksjp@gmail.com\", role=\"ctb\"),\nperson(\"Jorge\", \"Gonzalez\", email=\"jgonzale@mat.puc.cl\", role=\"ctb\"),\nperson(\"David\", \"Magis\", email=\"david.magis@uliege.be\", role=\"ctb\")\n)", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Roxygen": "list(markdown = TRUE)", "URL": "https://hwangQ.github.io/irtQ/, https://github.com/hwangQ/irtQ", "BugReports": "https://github.com/hwangQ/irtQ/issues", "Config/roxygen2/version": "8.0.0", "Config/pak/sysreqs": "cmake libicu-dev", "Repository": "https://hwangq.r-universe.dev", "Date/Publication": "2026-10-24 05:14:20 UTC", "RemoteUrl": "https://github.com/hwangq/irtq", "RemoteRef": "HEAD", "RemoteSha": "5ad30cd2aa3a7e6a74964df3162e70b0352e7ebc", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-24 06:12:56 UTC", "User": "root" }, "Author": "Hwanggyu Lim [aut, cre],\nCraig S. Wells [ctb],\nJames Howard [ctb],\nJoshua Pritikin [ctb],\nJonathan P Weeks [ctb],\nJorge Gonzalez [ctb],\nDavid Magis [ctb]", "Maintainer": "Hwanggyu Lim ", "_user": "hwangq", "_type": "src", "_file": "irtQ_1.4.0.tar.gz", "_fileid": "https://r2.ropensci.org/2f4f3567b71a2adfadc871bb75c6bc986af1f546f53edd67fb0a0acbd1e38a4b", "_filesize": 3967391, "_sha256": "2f4f3567b71a2adfadc871bb75c6bc986af1f546f53edd67fb0a0acbd1e38a4b", "_expires": "2027-02-01T06:26:14.000Z", "_created": "2026-10-24T06:12:56.000Z", "_published": "2026-10-24T06:26:16.016Z", "_upstream": "https://github.com/hwangq/irtq", "_status": "success", "_maintainer": { "name": "Hwanggyu Lim", "email": "hglim83@gmail.com", "login": "hwangq", "linkedin": "in/hwanggyu-lim-4a9174145", "description": "", "uuid": 43680218 }, "_jobs": [ { "job": 120799254292, "time": 305, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12550239830" }, { "job": 120799254304, "time": 344, "config": "linux-release-x86_64", "r": 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"hwangq", "count": 470, "uuid": 43680218 } ], "_userbio": { "uuid": 43680218, "type": "user", "name": "HWANGGYU LIM", "followers": 5 }, "_downloads": { "count": 576, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/irtQ" }, "_devurl": "https://github.com/hwangq/irtq", "_pkgdown": "https://hwangQ.github.io/irtQ/", "_searchresults": 25, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/irtQ.html", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md" ], "_homeurl": "https://github.com/hwangq/irtq", "_realowner": "hwangq", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2023-01-14" }, { "version": "0.1.1", "date": "2023-05-08" }, { "version": "0.2.0", "date": "2023-07-06" }, { "version": "0.2.1", "date": "2024-08-26" }, { "version": "1.0.0", "date": "2025-07-17" }, { "version": "1.1.0", "date": "2026-06-07" }, { "version": "1.2.0", "date": "2026-07-27" }, { "version": "1.3.0", "date": "2026-10-05" }, { "version": "1.3.1", "date": "2026-10-08" } ], "_exports": [ "bind.fill", "bisection", "bring.bilog", "bring.flexmirt", "bring.mirt", "bring.parscale", "cac_lee", "cac_rud", "catsib", "covirt", "crdif", "ctt", "ctt_distr", "drm", "est_irt", "est_item", "est_mg", "est_score", "find_cut", "freq_score", "gen.weight", "getirt", "grdif", "info", "irtfit", "llike_score", "lwrc", "panel_info", "pcd2", "prm", "rdif", "reval_mst", "ripd", "run_flexmirt", "run_mst", "score_resp", "shape_df", "shape_df_fipc", "simdat", "summary", "sx2_fit", "traceline", "write.flexmirt" ], "_datasets": [ { "name": "LSAT6", "title": "LSAT6 Data", "object": "LSAT6", "class": [ "matrix", "array" ], "fields": [ "item.1", "item.2", "item.3", "item.4", "item.5" ], "rows": 1000, "table": true, "tojson": true }, { "name": "simCAT_DC", "title": "Simulated Single-Item Format CAT Data", "object": "simCAT_DC", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "simCAT_MX", "title": "Simulated Mixed-Item Format CAT Data", "object": "simCAT_MX", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "simIPD", "title": "Simulated CAT Data for Item Parameter Drift (IPD) Detection", "object": "simIPD", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "simMG", "title": "Simulated Multiple-Group Data", "object": "simMG", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "simMST", "title": "Simulated 1-3-3 MST Panel Data", "object": "simMST", "class": [ "list" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "irtQ-package", "title": "irtQ: Unidimensional Item Response Theory Modeling", "topics": [ "irtQ-package", "irtQ" ] }, { "page": "bind.fill", "title": "Bind Fill", "topics": [ "bind.fill" ] }, { "page": "bisection", "title": "The Bisection Method to Find a Root", "topics": [ "bisection" ] }, { "page": "bring.flexmirt", "title": "Import Item and Ability Parameters from IRT Software", "topics": [ "bring.bilog", "bring.flexmirt", "bring.mirt", "bring.parscale" ] }, { "page": "cac_lee", "title": "Classification Accuracy and Consistency Using Lee's (2010) Approach", "topics": [ "cac_lee" ] }, { "page": "cac_rud", "title": "Classification Accuracy and Consistency Based on Rudner's (2001, 2005) Approach", "topics": [ "cac_rud" ] }, { "page": "catsib", "title": "CATSIB DIF Detection Procedure", "topics": [ "catsib", "print.catsib" ] }, { "page": "covirt", "title": "Asymptotic Variance-Covariance Matrices of Item Parameter Estimates", "topics": [ "covirt" ] }, { "page": "crdif", "title": "Residual-Based DIF Detection Framework Using Categorical Residuals (RDIF-CR)", "topics": [ "crdif", "crdif.default", "crdif.est_irt", "crdif.est_item", "print.crdif" ] }, { "page": "ctt", "title": "Classical Test Theory (CTT) Item and Test Analysis", "topics": [ "ctt" ] }, { "page": "ctt_distr", "title": "Option/Category Response Distribution and Distractor Analysis", "topics": [ "ctt_distr" ] }, { "page": "drm", "title": "Dichotomous Response Model (DRM) Probabilities", "topics": [ "drm" ] }, { "page": "est_irt", "title": "Item parameter estimation using MMLE-EM algorithm", "topics": [ "est_irt" ] }, { "page": "est_item", "title": "Fixed ability parameter calibration", "topics": [ "est_item" ] }, { "page": "est_mg", "title": "Multiple-group item calibration using MMLE-EM algorithm", "topics": [ "est_mg" ] }, { "page": "est_score", "title": "Estimate examinees' ability (proficiency) parameters", "topics": [ "est_score", "est_score.default", "est_score.est_irt", "est_score.est_item" ] }, { "page": "find_cut", "title": "Find TIF-Crossing Cut Scores for MST Routing", "topics": [ "find_cut", "print.find_cut" ] }, { "page": "freq_score", "title": "Frequency Distribution Table for Total Scores", "topics": [ "freq_score" ] }, { "page": "gen.weight", "title": "Generate Weights", "topics": [ "gen.weight" ] }, { "page": "getirt", "title": "Extract Components from 'est_irt', 'est_mg', or 'est_item' Objects", "topics": [ "getirt", "getirt.est_irt", "getirt.est_item", "getirt.est_mg" ] }, { "page": "grdif", "title": "Generalized IRT residual-based DIF detection framework for multiple groups (GRDIF)", "topics": [ "grdif", "grdif.default", "grdif.est_irt", "grdif.est_item", "print.grdif" ] }, { "page": "info", "title": "Item and Test Information Functions", "topics": [ "info", "info.default", "info.est_irt", "info.est_item" ] }, { "page": "irtfit", "title": "Traditional IRT Item Fit Statistics", "topics": [ "irtfit", "irtfit.default", "irtfit.est_irt", "irtfit.est_item", "print.irtfit" ] }, { "page": "llike_score", "title": "Log-Likelihood of Ability Parameters", "topics": [ "llike_score" ] }, { "page": "LSAT6", "title": "LSAT6 Data", "topics": [ "LSAT6" ] }, { "page": "lwrc", "title": "Lord-Wingersky Recursion Formula", "topics": [ "lwrc" ] }, { "page": "panel_info", "title": "Extract Panel Structure from an MST Route Map", "topics": [ "panel_info" ] }, { "page": "pcd2", "title": "Pseudo-Count D2 Method for Item Parameter Drift Detection", "topics": [ "pcd2" ] }, { "page": "plot.find_cut", "title": "Plot TIF Curves and Cut Scores from a 'find_cut' Result", "topics": [ "plot.find_cut" ] }, { "page": "plot.info", "title": "Plot Item and Test Information Functions", "topics": [ "plot.info" ] }, { "page": "plot.irtfit", "title": "Draw Raw and Standardized Residual Plots", "topics": [ "plot.irtfit" ] }, { "page": "plot.traceline", "title": "Plot Item and Test Characteristic Curves", "topics": [ "plot.traceline" ] }, { "page": "print.ctt", "title": "Print a Combined CTT Analysis", "topics": [ "print.ctt" ] }, { "page": "print.summary.ctt", "title": "Print the Full Report for a Combined CTT Analysis", "topics": [ "print.summary.ctt" ] }, { "page": "prm", "title": "Polytomous Response Model (PRM) Probabilities (GRM and GPCM)", "topics": [ "prm" ] }, { "page": "rdif", "title": "IRT Residual-Based Differential Item Functioning (RDIF) Detection Framework", "topics": [ "print.rdif", "rdif", "rdif.default", "rdif.est_irt", "rdif.est_item" ] }, { "page": "reval_mst", "title": "Recursion-Based Analytical Evaluation of an MST Panel", "topics": [ "reval_mst" ] }, { "page": "ripd", "title": "Residual-based Item Parameter Drift (RIPD) Detection Framework", "topics": [ "print.ripd", "ripd", "ripd.default", "ripd.est_irt", "ripd.est_item" ] }, { "page": "run_flexmirt", "title": "Run flexMIRT from Within R", "topics": [ "run_flexmirt" ] }, { "page": "run_mst", "title": "Multistage-Adaptive Test (MST) Simulation", "topics": [ "print.run_mst", "run_mst" ] }, { "page": "score_resp", "title": "Score Selected-Response Item Data Against an Answer Key", "topics": [ "score_resp" ] }, { "page": "shape_df", "title": "Create a Data Frame of Item Metadata", "topics": [ "shape_df" ] }, { "page": "shape_df_fipc", "title": "Combine Fixed and New Item Metadata for Fixed Item Parameter Calibration (FIPC)", "topics": [ "shape_df_fipc" ] }, { "page": "simCAT_DC", "title": "Simulated Single-Item Format CAT Data", "topics": [ "simCAT_DC" ] }, { "page": "simCAT_MX", "title": "Simulated Mixed-Item Format CAT Data", "topics": [ "simCAT_MX" ] }, { "page": "simdat", "title": "Simulate Response Data", "topics": [ "simdat" ] }, { "page": "simIPD", "title": "Simulated CAT Data for Item Parameter Drift (IPD) Detection", "topics": [ "simIPD" ] }, { "page": "simMG", "title": "Simulated Multiple-Group Data", "topics": [ "simMG" ] }, { "page": "simMST", "title": "Simulated 1-3-3 MST Panel Data", "topics": [ "simMST" ] }, { "page": "summary", "title": "Summary of Item Calibration Results", "topics": [ "print.est_irt", "print.est_item", "print.est_mg", "print.summary.est_irt", "print.summary.est_item", "print.summary.est_mg", "summary", "summary.est_irt", "summary.est_item", "summary.est_mg" ] }, { "page": "summary.ctt", "title": "Summarize a Combined CTT Analysis", "topics": [ "summary.ctt" ] }, { "page": "sx2_fit", "title": "S-X2 Fit Statistic", "topics": [ "sx2_fit", "sx2_fit.default", "sx2_fit.est_irt", "sx2_fit.est_item" ] }, { "page": "traceline", "title": "Compute Item/Test Characteristic Functions", "topics": [ "traceline", "traceline.default", "traceline.est_irt", "traceline.est_item" ] }, { "page": "write.flexmirt", "title": "Write a \"-prm.txt\" File for flexMIRT", "topics": [ "write.flexmirt" ] } ], "_pkglogo": "https://github.com/hwangq/irtq/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/hwangq/irtq/raw/HEAD/README.md", "_rundeps": [ "cli", "cpp11", "dplyr", "farver", "generics", "ggplot2", "glue", "gridExtra", "gtable", "hms", "isoband", "janitor", "labeling", "lattice", "lifecycle", "lubridate", "magrittr", "Matrix", "pillar", "pkgconfig", "plyr", "purrr", "R6", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppParallel", "reshape2", "Rfast", "rlang", "S7", "scales", "snakecase", 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