IRTBEMM
Family of Bayesian EMM Algorithm for Item Response Models
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.8 |
rolling linux/jammy R-4.5 | IRTBEMM_1.0.8.tar.gz |
197.2 KiB |
1.0.8 |
rolling linux/noble R-4.5 | IRTBEMM_1.0.8.tar.gz |
197.1 KiB |
1.0.8 |
rolling source/ R- | IRTBEMM_1.0.8.tar.gz |
29.6 KiB |
1.0.8 |
latest linux/jammy R-4.5 | IRTBEMM_1.0.8.tar.gz |
197.2 KiB |
1.0.8 |
latest linux/noble R-4.5 | IRTBEMM_1.0.8.tar.gz |
197.1 KiB |
1.0.8 |
latest source/ R- | IRTBEMM_1.0.8.tar.gz |
29.6 KiB |
1.0.8 |
2026-04-26 source/ R- | IRTBEMM_1.0.8.tar.gz |
29.6 KiB |
1.0.8 |
2026-04-23 source/ R- | IRTBEMM_1.0.8.tar.gz |
29.6 KiB |
1.0.8 |
2026-04-09 windows/windows R-4.5 | IRTBEMM_1.0.8.zip |
200.0 KiB |
1.0.8 |
2025-04-20 source/ R- | IRTBEMM_1.0.8.tar.gz |
29.6 KiB |