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Rirt  

Data Analysis and Parameter Estimation Using Item Response Theory
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Rirt", "0.0.2")



Attach the package and use:
library("Rirt")
Maintained by
Xiao Luo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-22
Latest Update: 2019-10-23
Description:
Parameter estimation, computation of probability, information, and (log-)likelihood, and visualization of item/test characteristic curves and item/test information functions for three uni-dimensional item response theory models: the 3-parameter-logistic model, generalized partial credit model, and graded response model. The full documentation and tutorials are at .
How to cite:
Xiao Luo (2019). Rirt: Data Analysis and Parameter Estimation Using Item Response Theory. R package version 0.0.2, https://cran.r-project.org/web/packages/Rirt. Accessed 28 Jun. 2026.
Previous versions and publish date:
0.0.1 (2019-08-22 09:50)
Other packages that cited Rirt R package
View Rirt citation profile
Other R packages that Rirt depends, imports, suggests or enhances
Complete documentation for Rirt
Functions, R codes and Examples using the Rirt R package
Some associated functions: estimate_3pl . estimate_gpcm . estimate_grm . estimate_mixed . helpers . model_3pl . model_gpcm . model_grm . model_mixed . utils . 
Some associated R codes: RcppExports.R . estimate_3pl.R . estimate_gpcm.R . estimate_grm.R . estimate_mixed.R . helpers.R . model_3pl.R . model_gpcm.R . model_grm.R . model_mixed.R . utils.R .  Full Rirt package functions and examples
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