Description Usage Arguments Value References
See 'dens2lqd' and 'RegulariseByAlpha' for more details. This function will automatically trim out support points that the 99.5-th percentile (calculated using all available samples) is not positive. It will then normalise the new densities to integraate to one, regularise by 'alpha' and calculate the LQ projection.
1 | MakeLQDsample(dmatrix, alpha = 0, dInput)
|
dmatrix |
Matrix holding the density values on dInput - assumed to be strictly positive and integrate to 1 |
alpha |
Scalar to regularise the supports with (default=0) |
dInput |
Support (grid) for Density domain |
list with the 'LQD' projected data, the 'alpha' used and the 'newSupport' that was defined after trimming the data.
Functional Data Analysis for Density Functions by Transformation to a Hilbert space, Alexander Petersen and Hans-Georg Mueller, 2015
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