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IRTBEMM  

Family of Bayesian EMM Algorithm for Item Response Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("IRTBEMM", "1.0.8")



Attach the package and use:
library("IRTBEMM")
Maintained by
Shaoyang Guo
[Scholar Profile | Author Map]
First Published: 2020-03-14
Latest Update: 2023-06-06
Description:
Applying the family of the Bayesian Expectation-Maximization-Maximization (BEMM) algorithm to estimate: (1) Three parameter logistic (3PL) model proposed by Birnbaum (1968, ISBN:9780201043105); (2) four parameter logistic (4PL) model proposed by Barton & Lord (1981) ; (3) one parameter logistic guessing (1PLG) and (4) one parameter logistic ability-based guessing (1PLAG) models proposed by San Mart
How to cite:
Shaoyang Guo (2020). IRTBEMM: Family of Bayesian EMM Algorithm for Item Response Models. R package version 1.0.8, https://cran.r-project.org/web/packages/IRTBEMM. Accessed 14 Apr. 2025.
Previous versions and publish date:
1.0.2 (2020-03-14 16:30), 1.0.3 (2020-06-29 06:20), 1.0.4 (2020-09-17 11:00), 1.0.5 (2020-09-23 08:30), 1.0.6 (2020-10-13 12:40), 1.0.7 (2020-11-10 07:20)
Other packages that cited IRTBEMM R package
View IRTBEMM citation profile
Other R packages that IRTBEMM depends, imports, suggests or enhances
Complete documentation for IRTBEMM
Functions, R codes and Examples using the IRTBEMM R package
Some associated functions: BEMM.1PLAG . BEMM.1PLG . BEMM.3PL . BEMM.4PL . Input.Checking . Prob.model . 
Some associated R codes: BEMM.1PLAG.R . BEMM.1PLG.R . BEMM.3PL.R . BEMM.4PL.R . ToolBox.R .  Full IRTBEMM package functions and examples
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