MakeLQDsample: Convenience function for converting densities to log-quantile...

Description Usage Arguments Value References

Description

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.

Usage

1
MakeLQDsample(dmatrix, alpha = 0, dInput)

Arguments

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

Value

list with the 'LQD' projected data, the 'alpha' used and the 'newSupport' that was defined after trimming the data.

References

Functional Data Analysis for Density Functions by Transformation to a Hilbert space, Alexander Petersen and Hans-Georg Mueller, 2015


functionaldata/tDENS documentation built on May 16, 2019, 3:38 p.m.