rob_scale: Stabilize the center and scale of a timeseries robustly
In neuroconductor/fMRIscrub: Scrubbing and Other Data Cleaning Routines for fMRI

Stabilize the center and scale of a timeseries using robust regression of DCT bases on the first and second moments.

1	rob_scale(x, center = TRUE, scale = TRUE, lmrob_method = "MM", rescale = TRUE)

`x`	The timeseries to stabilize.
`center, scale`	Center and scale? Default: `TRUE` for both. If scaling but not centering, the data must already be centered; otherwise, the results will be invalid. Can also be the number of DCT bases to use for robust stabilization of center/scale; `TRUE` will use `4`.
`lmrob_method`	The `lmrob_method` argument to `robustbase::lmrob`.
`rescale`	After stabilizing `x`, re-center and re-scale to the original mean and variance? Default: `TRUE`.