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IRTest  

Parameter Estimation of Item Response Theory with Estimation of Latent Distribution
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("IRTest", "2.1.0")



Attach the package and use:
library("IRTest")
Maintained by
Seewoo Li
[Scholar Profile | Author Map]
First Published: 2022-09-06
Latest Update: 2023-10-16
Description:
Item response theory (IRT) parameter estimation using marginal maximum likelihood and expectation-maximization algorithm (Bock & Aitkin, 1981 ). Within parameter estimation algorithm, several methods for latent distribution estimation are available. Reflecting some features of the true latent distribution, these latent distribution estimation methods can possibly enhance the estimation accuracy and free the normality assumption on the latent distribution.
How to cite:
Seewoo Li (2022). IRTest: Parameter Estimation of Item Response Theory with Estimation of Latent Distribution. R package version 2.1.0, https://cran.r-project.org/web/packages/IRTest. Accessed 29 Apr. 2025.
Previous versions and publish date:
0.0.2 (2022-09-06 08:20), 0.1.0 (2023-04-02 18:50), 1.0.0 (2023-07-18 09:30), 1.7.0 (2023-08-17 21:32), 1.11.0 (2023-09-19 23:20), 1.12.0 (2023-10-16 13:40), 2.0.0 (2024-03-22 20:20)
Other packages that cited IRTest R package
View IRTest citation profile
Other R packages that IRTest depends, imports, suggests or enhances
Complete documentation for IRTest
Functions, R codes and Examples using the IRTest R package
Some associated functions: DataGeneration . GHc . IRTest_Dich . IRTest_Mix . IRTest_Poly . dist2 . original_par_2GM . plot_LD . 
Some associated R codes: DataGeneration.R . GHc.R . IRTest_Dich.R . IRTest_Mix.R . IRTest_Poly.R . dist2.R . non_exporting_functions.R . original_par_2GM.R . plot_LD.R .  Full IRTest package functions and examples
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