论文标题
R软件包AZIAD用于分析零膨胀和零变化的数据
An R Package AZIAD for Analyzing Zero-Inflated and Zero-Altered Data
论文作者
论文摘要
我们引入了一个新开发的R软件包Aziad，用于分析零充气或零改变的数据。与现有的R软件包相比，Aziad涵盖了更大的零充气和障碍模型，包括离散和连续案例。它提供了更准确的参数估计，以及相应的Fisher信息矩阵和置信区间。它可以实现模型识别和选择的更大功能。为了促进潜在用户，在本文中，我们为Aziad提供了详细的公式和理论理由，以及零膨胀和零改变模型的新理论结果。我们使用仿真研究来显示Aziad功能比现有R软件包的优势，并提供真实的数据示例和可执行的R代码，以说明如何将我们的软件包用于稀疏数据分析和模型选择。
We introduce a newly developed R package AZIAD for analyzing zero-inflated or zero-altered data. Compared with existing R packages, AZIAD covers a much larger class of zero-inflated and hurdle models, including both discrete and continuous cases. It provides more accurate parameter estimates, along with the corresponding Fisher information matrix and confidence intervals. It achieves significantly larger power for model identification and selection. To facilitate the potential users, in this paper we provide detailed formulae and theoretical justifications for AZIAD, as well as new theoretical results on zero-inflated and zero-altered models. We use simulation studies to show the advantages of AZIAD functions over existing R packages and provide real data examples and executable R code to illustrate how to use our package for sparse data analysis and model selection.
