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IRTest
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]
[Scholar Profile | Author Map]
All associated links for this package
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 22 Dec. 2024.
Previous versions and publish date:
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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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