Outlier Detection Tools for Functional Data Analysis

---

Documentation for package ‘fdaoutlier’ version 0.2.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

band_depth	Compute the band depth for a sample of curves/observations.
directional_quantile	Compute directional quantile outlyingness for a sample of discretely observed curves
dir_out	Dai & Genton (2019) Directional outlyingness for univariate or multivariate functional data.
extremal_depth	Compute extremal depth for functional data
extreme_rank_length	Compute the Extreme Rank Length Depth.
functional_boxplot	Functional Boxplot for a sample of functions.
hardin_factor_numeric	Compute F distribution factors for approximating the tail of the distribution of robust MCD distance.
linfinity_depth	Compute the L-infinity depth of a sample of curves/functions.
modified_band_depth	Compute the modified band depth for a sample of curves/functions.
msplot	Outlier Detection using Magnitude-Shape Plot (MS-Plot) based on the directional outlyingness for functional data.
muod	Massive Unsupervised Outlier Detection (MUOD)
plot_dtt	Plot Data from simulation models
projection_depth	Random projection for multivariate data
seq_transform	Find and classify outliers functional outliers using Sequential Transformation
simulation_model1	Convenience function for generating functional data
simulation_model2	Convenience function for generating functional data
simulation_model3	Convenience function for generating functional data
simulation_model4	Convenience function for generating functional data
simulation_model5	Convenience function for generating functional data
simulation_model6	Convenience function for generating functional data
simulation_model7	Convenience function for generating functional data
simulation_model8	Convenience function for generating functional data
simulation_model9	Convenience function for generating functional data
spanish_weather	Spanish Weather Data
total_variation_depth	Total Variation Depth and Modified Shape Similarity Index
tvdmss	Outlier detection using the total variation depth and modified shape similarity index.
tvd_mss	Outlier detection using the total variation depth and modified shape similarity index.
world_population	World Population Data by Countries