Outlier detection is one of the standard exploratory analysis tasks in functional data analysis. We present the R package fdaoutlier which contains implementations of some of the latest techniques for detecting functional outliers. The package makes it easy to detect different types of outliers (magnitude, shape, and amplitude) in functional data, and some of the implemented methods can be applied to both univariate and multivariate functional data. We illustrate the main functionality of the R package with common functional datasets in the literature.

翻译：外部探测是功能性数据分析的标准探索性分析任务之一。我们展示了R包fdautier,其中载有一些功能性外部线最新技术的实施。该包便于在功能性数据中发现不同类型的外部线(磁度、形状和振幅),一些实施的方法可以适用于单体和多变量功能性数据。我们用文献中的通用功能数据集来说明R包的主要功能。