IRTC: Marginal Maximum Likelihood Estimation for Item Response Models

Self-contained marginal maximum likelihood (MML) estimation for unidimensional and multidimensional item response models, including the Rasch / one-parameter logistic, partial credit, rating scale, two-parameter logistic and generalised partial credit models, with latent regression, multiple groups and case weights. A parallelised, dimension-factorised streaming estimation engine supports large between-item (simple-structure) multidimensional models with bounded memory and an opt-in controlled-accuracy quadrature mode that reports a measured approximation error. A usability layer serves non-specialists and automated pipelines: one-stop estimation from common file formats ('Excel', delimited text, 'SPSS', 'Stata', 'SAS') with automatic cleaning and answer-key scoring, pre-estimation data checks, classical item statistics and item fit, plain-language quality ratings, bilingual (English/Chinese) output, spreadsheet exports for item banking and cross-year linking, audience-specific 'Word'/'HTML' reports, and machine-readable results with structured error conditions. Methods follow Adams, Wilson and Wang (1997) <doi:10.1177/0146621697211001>.

Version: 1.1.1
Depends: R (≥ 3.5.0)
Imports: Rcpp, stats, utils, methods, MASS, tools, graphics, grDevices
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0), mvtnorm, sfsmisc, readxl, writexl, haven, openxlsx, officer, jsonlite
Published: 2026-07-24
DOI: 10.32614/CRAN.package.IRTC (may not be active yet)
Author: Kunxiang Ma [aut, cre], WEIAN DATA TECH (Beijing) Co., Ltd. [cph, fnd]
Maintainer: Kunxiang Ma <makunxiang at weiandata.com>
BugReports: https://github.com/weiandata/IRTC/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: See file inst/COPYRIGHTS.
IRTC copyright details
URL: https://github.com/weiandata/IRTC
NeedsCompilation: yes
Materials: NEWS
CRAN checks: IRTC results

Documentation:

Reference manual: IRTC.html , IRTC.pdf

Downloads:

Package source: IRTC_1.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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