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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): IRTC_1.1.1.tgz, r-oldrel (arm64): IRTC_1.1.1.tgz, r-release (x86_64): IRTC_1.1.1.tgz, r-oldrel (x86_64): IRTC_1.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=IRTC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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