Package: IRTBEMM
Type: Package
Title: Family of Bayesian EMM Algorithm for Item Response Models
Version: 1.0.8
Date: 2023-06-06
Authors@R: c(person("Shaoyang", "Guo", role = c("aut", "cre", "cph"),
                      email = "syguo1992@outlook.com"),
               person("Chanjin", "Zheng", role = "aut"),
               person("Justin L", "Kern", role = "aut"))
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) <doi:10.1002/j.2333-8504.1981.tb01255.x>; (3) one parameter logistic guessing (1PLG) and (4) one parameter logistic ability-based guessing (1PLAG) models proposed by San Martín et al (2006) <doi:10.1177/0146621605282773>. The BEMM family includes (1) the BEMM algorithm for 3PL model proposed by Guo & Zheng (2019) <doi:10.3389/fpsyg.2019.01175>; (2) the BEMM algorithm for 1PLG model and (3) the BEMM algorithm for 1PLAG model proposed by Guo, Wu, Zheng, & Chen (2021) <doi:10.1177/0146621621990761>; (4) the BEMM algorithm for 4PL model proposed by Zheng, Guo, & Kern (2021) <doi:10.1177/21582440211052556>; and (5) their maximum likelihood estimation versions proposed by Zheng, Meng, Guo, & Liu (2018) <doi:10.3389/fpsyg.2017.02302>. Thus, both Bayesian modal estimates and maximum likelihood estimates are available.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-06-06 09:22:42 UTC; syguo1992
Encoding: UTF-8
Author: Shaoyang Guo [aut, cre, cph],
  Chanjin Zheng [aut],
  Justin L Kern [aut]
Maintainer: Shaoyang Guo <syguo1992@outlook.com>
Repository: CRAN
Date/Publication: 2023-06-06 12:20:05 UTC
Built: R 4.6.0; ; 2026-04-25 19:46:02 UTC; unix
