A recently released R package IRTBEMM is presented in this article. This package puts together several new estimation algorithms (Bayesian EMM, Bayesian E3M, and their maximum likelihood versions) for the Item Response Theory (IRT) models with guessing and slipping parameters (e.g., 3PL, 4PL, 1PL-G, and 1PL-AG models). IRTBEMM should be of interest to the researchers in IRT estimation and applying IRT models with the guessing and slipping effects to real datasets.

中文翻译：

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IRTBEMM：使用猜测或滑动参数估计 IRT 模型的 R 包

本文介绍了最近发布的 R 包 IRTBEMM。该软件包为具有猜测和滑动参数（例如，3PL、4PL、1PL-G 和 1PL-AG）的项目响应理论 (IRT) 模型汇集了几种新的估计算法（贝叶斯 EMM、贝叶斯 E3M 及其最大似然版本）楷模）。IRTBEMM 应该对 IRT 估计和将具有猜测和滑动效应的 IRT 模型应用于真实数据集的研究人员感兴趣。