gg.comp: Computation of Design Matrix induced by Multi-scale SBF's for...
In SpherWave: Spherical Wavelets and SW-based Spatially Adaptive Methods
Description
Usage
Arguments
Value
References
See Also
Description
This function computes design matrix induced by multi-scale SBF's for ridge regression.
Usage
1
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.
SpherWave documentation built on April 14, 2017, 1:28 p.m.
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Description Usage Arguments Value References See Also
Description
This function computes design matrix induced by multi-scale SBF's for ridge regression.
Usage
1 | 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.
R Package Documentation
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