Other packages > Find by keyword >

IRTC  

Marginal Maximum Likelihood Estimation for Item Response Models
View on CRAN: Click here


Download and install IRTC package within the R console
Install from CRAN:
install.packages("IRTC")

Install from Github:
library("remotes")
install_github("cran/IRTC")

Install by package version:
library("remotes")
install_version("IRTC", "1.1.1")



Attach the package and use:
library("IRTC")
Maintained by
Kunxiang Ma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-24
Latest Update: 2026-07-24
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>.
How to cite:
Kunxiang Ma (2026). IRTC: Marginal Maximum Likelihood Estimation for Item Response Models. R package version 1.1.1, https://cran.r-project.org/web/packages/IRTC. Accessed 13 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited IRTC R package
View IRTC citation profile
Other R packages that IRTC depends, imports, suggests or enhances
Complete documentation for IRTC
Functions, R codes and Examples using the IRTC R package
Full IRTC package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
covid19us  
Cases of COVID-19 in the United States
A wrapper around the 'COVID Tracking Project API' providing data o ...
Download / Learn more Package Citations See dependency  
robust2sls  
Outlier Robust Two-Stage Least Squares Inference and Testing
An implementation of easy tools for outlier robust inference in two-stage least squares (2SLS) mode ...
Download / Learn more Package Citations See dependency  
weibullness  
Goodness-of-Fit Test for Weibull Distribution (Weibullness)
Conducts a goodness-of-fit test for the Weibull distribution (referred to as the weibullness test) a ...
Download / Learn more Package Citations See dependency  
dafs  
Data Analysis for Forensic Scientists
Data and miscellanea to support the book "Introduction to Data analysis with R for Forensic Scientis ...
Download / Learn more Package Citations See dependency  

29,000

R Packages

247,686

Dependencies

76,729

Author Associations

29,001

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA