  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.
