scale_Param: scale
In templateICAr: Estimate Brain Networks and Connectivity with ICA and Empirical Priors
scale_Param R Documentation
scale
Description
scale
Arguments
scale
"local" (default), "global", or "none".
Local scaling will divide each data location's time series by its estimated
standard deviation. Global scaling will divide the entire data matrix by the
mean image standard deviation (mean(sqrt(rowVars(BOLD)))).
templateICAr documentation built on April 3, 2025, 7:41 p.m.
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| scale_Param | R Documentation |
scale
Description
scale
Arguments
scale |
|
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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