TEP_summary: Make a table of EDD results and PFA for all tested methods.
In NeymanPearsonFan1/tdpcaTEP: Simulation Study on TEP Data with TDPCA.

WARNING: Before running this function your must either have run run_TEP_sim yourself, or have downloaded the results/ and thresholds/ directories from https://github.com/NeymanPearsonFan1/tdpcaTEP and put them in your working directory.

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TEP_summary(lag, fault_nr, keep_names = NULL,
  change_distr = c("semisparse_uniform", "semisparse_sd_only",
  "semisparse_mean_only"), sort_by = NULL, show_plot = TRUE, ...)

`lag`	The lag used in TDPCA.
`fault_nr`	A number between 1 and 20 indicating the fault number.
`keep_names`	A vector of names indicating which methods should be kept for display (for internal use).
`change_distr`	Which change distributions TDPCA to show results for (see `?tpca::tpca`).
`sort_by`	If not NULL, either 'edd' or 'pfa', to sort the output table.
`show_plot`	Logical. Should a density plot also be shown?