gg.comp {SpherWave}R Documentation

Computation of Design Matrix induced by Multi-scale SBF's for Ridge Regression

Description

This function computes design matrix induced by multi-scale SBF's for ridge regression.

Usage

gg.comp(site1, site2, ssite1, ssite2, snet, seta, lam) 

Arguments

site1 latitudes of observation sites in radian
site2 longitudes of observation sites in radian
ssite1 latitudes of observation sites in radian used in least squares method
ssite2 longitudes of observation sites in radian used in least squares method
snet vector of labels representing sub-networks
seta bandwidth parameters for Poisson kernel
lam smoothing parameter for ridge regression

Value

gg design matrix induced by multi-scale SBF's for ridge regression.

References

Oh, H-S. (1999) Spherical wavelets and their statistical analysis with applications to meteorological data. Ph.D. Thesis, Department of Statistics, Texas A&M University, College Station.

Li, T-H. (1999) Multiscale representation and analysis of spherical data by spherical wavelets. SIAM Journal on Scientific Computing, 21, 924–953.

See Also

lscoef.comp, gg.comp, ridge.comp.


[Package SpherWave version 1.1.0 Index]