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) ; (3) one parameter logistic guessing (1PLG) and (4) one parameter logistic ability-based guessing (1PLAG) models proposed by San Martín et al (2006) . The BEMM family includes (1) the BEMM algorithm for 3PL model proposed by Guo & Zheng (2019) ; (2) the BEMM algorithm for 1PLG model and (3) the BEMM algorithm for 1PLAG model proposed by Guo, Wu, Zheng, & Chen (2021) ; (4) the BEMM algorithm for 4PL model proposed by Zheng, Guo, & Kern (2021) ; and (5) their maximum likelihood estimation versions proposed by Zheng, Meng, Guo, & Liu (2018) . Thus, both Bayesian modal estimates and maximum likelihood estimates are available. License: GPL (>= 2) Depends: R (>= 3.5.0) NeedsCompilation: no Packaged: 2026-10-04 12:44:07 UTC; root Encoding: UTF-8 Author: Shaoyang Guo [aut, cre, cph], Chanjin Zheng [aut], Justin L Kern [aut] Maintainer: Shaoyang Guo Repository: https://syguo1992.r-universe.dev Date/Publication: 2023-06-06 11:20:05 UTC RemoteUrl: https://github.com/cran/IRTBEMM RemoteRef: HEAD RemoteSha: 55dd367fc761e074caebb9462fdf15cb7d113538