Package: IRTC
Type: Package
Title: Marginal Maximum Likelihood Estimation for Item Response Models
Version: 1.1.2
Date: 2026-08-27
Authors@R: c(
    person("Kunxiang", "Ma", role = c("aut", "cre"),
           email = "makunxiang@weiandata.com"),
    person("WEIAN DATA TECH (Beijing) Co., Ltd.",
           role = c("cph", "fnd"), email = "contact@weiandata.com"))
Description: 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>.
License: GPL (>= 2)
Copyright: See file inst/COPYRIGHTS.
URL: https://github.com/weiandata/IRTC
BugReports: https://github.com/weiandata/IRTC/issues
Depends: R (>= 3.5.0)
Imports: Rcpp, stats, utils, methods, MASS, tools, graphics, grDevices
Suggests: testthat (>= 3.0.0), mvtnorm, sfsmisc, readxl, writexl,
        haven, openxlsx, officer, jsonlite
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Repository: https://weiandata.r-universe.dev
Date/Publication: 2026-08-27 04:40:29 UTC
RemoteUrl: https://github.com/weiandata/irtc
RemoteRef: HEAD
RemoteSha: e44f0bd4d931f90ffcc404dd300305349fee134c
Packaged: 2026-09-26 07:58:08 UTC; root
Author: Kunxiang Ma [aut, cre],
  WEIAN DATA TECH (Beijing) Co., Ltd. [cph, fnd]
Maintainer: Kunxiang Ma <makunxiang@weiandata.com>