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R/mModeAutoCovariance.R
In tensorBSS: Blind Source Separation Methods for Tensor-Valued Observations
Defines functions
mModeAutoCovariance
Documented in
mModeAutoCovariance
mModeAutoCovariance <-
function(x, m, lag, center = TRUE, normalize = TRUE){
if(center == TRUE) x <- tensorCentering(x)
xm <- mFlatten(x, m)
normalize_int <- normalize*1
mAutoCovMatrix(xm, lag, normalize_int)
}
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tensorBSS documentation built on June 2, 2021, 9:08 a.m.
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Defines functions mModeAutoCovariance
Documented in mModeAutoCovariance
mModeAutoCovariance <-
function(x, m, lag, center = TRUE, normalize = TRUE){
if(center == TRUE) x <- tensorCentering(x)
xm <- mFlatten(x, m)
normalize_int <- normalize*1
mAutoCovMatrix(xm, lag, normalize_int)
}
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Any scripts or data that you put into this service are public.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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