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IRTC

1.1.1

Marginal Maximum Likelihood Estimation for Item Response Models

0packages depend
143downloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Kunxiang MaFirst published 2026-07-241 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 11.4 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.50
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-25
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
88%
Documented parameters
99%
Return-value docs
100%
References docs
5%

Downloads

143
CRAN downloads in the past year
Rank #24,488 · ~0/day · ~12/mo
Daily download trend is not available in this view yet.
14330 days
14390 days
1431 year
Compare downloads with other packages →
Also on12 r2u9 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
License GPL-2.0 · Last activity 2026-07-31

Issues over time

2026-07-25 · 62026-08-01 · 0

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/weiandata/irtc on 2026-08-09.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
EditorConfig
Governance and community (3)
Issue templatesSecurity policyCODEOWNERS
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (8)
RcppstatsutilsmethodsMASStoolsgraphicsgrDevices
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Copyright holders (1)
Copyright holder, Funder
Funders (1)
Copyright holder, Funder
Package Timeline

1 release. R releases are shown for context.

  • 1.1.1Latest
    2026-07-24 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-24
Total releases
1 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
15 KB / 3 files
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("IRTC")
Ma, K., & WEIAN DATA TECH (Beijing) Co., Ltd. (2026). IRTC: Marginal Maximum Likelihood Estimation for Item Response Models (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.IRTC

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for IRTC version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-08-10. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-10, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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