Functional Depth Outliers

This function calculates the functional depth and returns the outliers.

Usage

func_depth_outlier(
  data,
  times,
  threshold = "beta",
  perc = 0.01,
  B = 10,
  maxiter = 10
)

data: A matrix where each row is an observation of a time series. Row names should be a unique ID.
times: A vector of length equal to the number of columns as data specifying the time points recorded at.
threshold: The choice of threshold calculation. One of c("beta", "bootstrap"). Default "beta".
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.
maxiter: Maximum number of iterations for outlier detection. Default 10.

A vector of outliers based on rownames.