Description Usage Arguments Value References
See 'lqd2dens' and 'RegulariseByAlpha' for more details. This function will automatically calculate the:sout 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 | MakeDENsample(qmatrix, alpha = 0, dSupUsedInLQ, dSup, useAlpha = FALSE)
|
qmatrix |
Matrix holding the log-quantiles values on [0,1] and assumed to lay strictly on dSupUsedInLQ |
alpha |
Scalar to deregularise the supports with (default=0) |
dSupUsedInLQ |
Support (grid) for Density domain that was used when calculating the LQ projections (maybe different from the original) |
dSup |
Original support (grid) for Density domain of the data |
useAlpha |
Logical indicator to regularise the support so the smallest value of each density is zero |
list with the 'DEN' projected data, and 'dSup' that was originally used for 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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