GRalgo-initGR: Growing Region initialization
In bozenne/MRIaggr: Management, Display, and Processing of Medical Imaging Data

Initialize arguments of the Growing Region algorithm. For internal use.

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initGR(contrast, W, seed, sigma_max, range, range.seed, breaks, iter_max, sd.robust,
         keep.lower, keep.upper, history.sigma, history.step, history.front,
         rescale, verbose, method = "initGR")

`contrast`	the contrast value of each observation. numeric vector.
`W`	the neighbourhood matrix. dgCMatrix.
`seed`	the index of the initial seeds or a binary indicator of the initial seeds. positive integer vector or logical vector.
`sigma_max`	the maximum admissible value for the variability of the group contrast. positive numeric.
`range`	the range of acceptable contrast values for the growing region group. numeric vector of size 2.
`range.seed`	the range of acceptable contrast values for the seeds. numeric vector of size 2.
`breaks`	the break points or the number of break points to use to categorize the contrast distribution. numeric vector or `postive integer`.
`iter_max`	the maximum number of iterations for the expansion of the growing region. `postive integer`.
`sd.robust`	should the median absolute deviation be used to estimte the variability of the group contrast, or the standard deviation ? logical.
`keep.lower`	should removing observations with high intensity of the region be forbidden ? logical.
`keep.upper`	should removing observations with low intensity of the region be forbidden ? logical.
`history.sigma`	should the values of sigma be recorded ? logical.
`history.step`	should the number of observations included in the growing region set be recorded ? logical.
`history.front`	should the propagation front of the GR set be recorded ? logical.
`rescale`	should the contrast be scaled ? logical.
`verbose`	should the execution of the function be traced ? logical.
`method`	the name of the function that called the initializer. character.