论文标题
LSIRM12PL：用于潜在空间项目的R软件包响应建模
lsirm12pl: An R package for latent space item response modeling
论文作者
论文摘要
潜在空间中的项目响应模型（LSIRM; Jeon等，2021）通过将两者都嵌入共享的潜在度量空间中，从而发现受访者与项目响应数据中项目之间的相互作用。 R软件包LSIRM12PL实现了贝叶斯对LSIRM的估计及其针对各种响应类型，基本模型规格和缺少数据处理的扩展。此外，LSIRM12PL软件包提供了改善模型利用率和解释的方法，例如在估计的交互作用图上的聚类项目位置。该软件包还提供了方便的摘要和绘图选项，以评估和处理估计的结果。在本文中，我们提供了LSIRM的方法论基础的概述，并描述了包装中包含的几个扩展。然后，我们证明了包含在其中包含的真实数据示例的软件包的使用。
The item response model in latent space (LSIRM; Jeon et al., 2021) uncovers unobserved interactions between respondents and items in the item response data by embedding both in a shared latent metric space. The R package lsirm12pl implements Bayesian estimation of the LSIRM and its extensions for various response types, base model specifications, and missing data handling. Furthermore, lsirm12pl package provides methods to improve model utilization and interpretation, such as clustering item positions on an estimated interaction map. The package also offers convenient summary and plotting options to evaluate and process the estimated results. In this paper, we provide an overview of the LSIRM's methodological foundation and describe several extensions included in the package. We then demonstrate the use of the package with real data examples contained within it.
