Functional Depth Threshold Beta
func_depth_threshold_beta.Rd
This function calculates the threshold for the functional depths in order to classify outliers by bootstrapping and fitting a beta distribution. This approach is faster than func_depth_threshold() but makes a Beta distribution assumption for the functional depths which may not always be appropriate.
Arguments
- data
A matrix where each row is an observation of a time series.
- times
A vector of length equal to the number of columns as data specifying the time points recorded at.
- perc
The percentile of the distribution to use. Default 0.01.
- B
The number of bootstraps to use. If 0, distribution is fitted to empirical depths. Default 10.