论文标题
面包师：嵌套部分类模型的R软件包
baker: An R package for Nested Partially-Latent Class Models
论文作者
论文摘要
本文描述并说明了贝克R软件包的功能。该软件包估计了一组嵌套的部分纬度类模型（NPLCM），用于在病例对照设计下观察到的多元二进制响应。 Baker软件包允许研究人员灵活地估计单个案例的班级成员的人口级阶级流行率和后验概率。估计是通过通过解析模型规范和数据输入的包装函数来调用跨平台自动贝叶斯推理软件来完成估计。 Baker软件包提供了许多有用的功能，包括数据摄入，探索性数据分析，模型诊断，广泛的绘图和可视化选项，催化从业人员和领域科学家之间的通信。使用模拟和真实数据集说明了软件包功能和工作流程。软件包URL：https：//github.com/zhenkewu/baker
This paper describes and illustrates the functionality of the baker R package. The package estimates a suite of nested partially-latent class models (NPLCM) for multivariate binary responses that are observed under a case-control design. The baker package allows researchers to flexibly estimate population-level class prevalences and posterior probabilities of class membership for individual cases. Estimation is accomplished by calling a cross-platform automatic Bayesian inference software JAGS through a wrapper R function that parses model specifications and data inputs. The baker package provides many useful features, including data ingestion, exploratory data analyses, model diagnostics, extensive plotting and visualization options, catalyzing communications between practitioners and domain scientists. Package features and workflows are illustrated using simulated and real data sets. Package URL: https://github.com/zhenkewu/baker
