R Observatory: Metrics for IRTC version 1.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

IRTC

1.1.1Package record

Marginal Maximum Likelihood Estimation for Item Response Models

0packages depend

774downloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Kunxiang MaCRAN page ↗GitHub ↗Issues ↗Declared funder: WEIAN DATA TECH (Beijing) Co., Ltd.

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.

Changes in 1.1.1

Packaging-only release addressing the CRAN incoming pre-test results for

1.1.0. No user-visible behaviour, no API and no estimation results change.

Documentation

The Rd sources reaching LaTeX are now ASCII, so the PDF reference manual builds without errors. Chinese column-name aliases are still documented: the new \zh Rd macro shows the Chinese characters in the HTML and text help and the equivalent \uxxxx escape in the PDF manual.
DESCRIPTION gains a Date field, so the package banner reads IRTC 1.1.1 (2026-07-17) instead of IRTC 1.1.1 ().

Internal

tests/testthat/test-print-session.R no longer assumes the released R wording "R version", which does not hold on r-devel ("R Under development (unstable)"). It now compares against R.version.string.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("IRTC", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("weiandata/IRTC")

Development version from weiandata/IRTC. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-irtc

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-IRTC

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-IRTC

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 11.3 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK6 OK2026-07-25

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.1

README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · mentions 1.1.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 20includes a package overview page
Examples that run: 88%14 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 5%

How these are measured

Downloads

774

CRAN downloads in the past year

Rank #15,622 · ~2/day · ~65/mo

Releases R versions

Daily download trend is not available in this view yet.

23630 days

77490 days

7741 year

Compare downloads with other packages →

Also on39 r2u2 autocran

How downloads are counted

Repository

weiandata/irtc ↗Organization: weiandata

0Stars

0Forks

0Open issues

0Open PRs

0Releases

License file reads as GPL-2.0 · Last activity 2026-08-27 · Default branch at 1.1.2, ahead of CRAN 1.1.1 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 83%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: not measured

Issues over time

2026-07-25 · 62026-08-01 · 0

How these are measured

PracticesBeta

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

Checks run against github.com/weiandata/irtc on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Governance and community (5)

Contributing guideIssue templatesPR templateSecurity policyCODEOWNERS

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

EditorConfig

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-07-17
Commits: at least 20 crediting it in the message

Shared conventions any agent may read, so they name no particular tool.

Seen in the repository: AGENTS.md

From outside contributors

Claude Code
Pull requests: 1 from outside contributors, first on 2026-07-24

Models named in its commits

Claude Opus 512 commits · Aug 2026
Claude Opus 4.88 commits · Jul 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing IRTC adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)

R >= 3.5.0

Imports (8)

RcppstatsutilsmethodsMASStoolsgraphicsgrDevices

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (9)

testthat mvtnorm sfsmisc readxl writexl haven openxlsx officer jsonlite

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Kunxiang Ma

Author, Maintainer since 1.1.1 (2026)

WEIAN DATA TECH (Beijing) Co., Ltd.

Copyright holder, Funder

Releases (1)

1.1.1Latest
record
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
Copyright: See file inst/COPYRIGHTS.
Minimum R: ≥ 3.5.0
Bundled data: 15 KB / 3 files
Download size: 219 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("IRTC")

Format

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for IRTC version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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