Description Usage Arguments Value References See Also
View source: R/fdaPDE.smoothing_R.R
Spatial regression with differential regularization (fully implemented in R code)
1  R_smooth.FEM.basis(locations, observations, FEMbasis, lambda, covariates, GCV)

locations 
A #observationsby2 matrix where each row specifies the spatial coordinates of the corresponding observations in the vector 
observations 
A #observations vector with the observed data values over the domain. The locations of the observations can be specified with the 
FEMbasis 
A F 
lambda 
A scalar or vector of smoothing parameters. 
covariates 
A #observationsby#covariates matrix where each row represents the covariates associated with the corresponding observed data value in 
GCV 
Boolean. If 
A list with the following quantities:

A 

A 

If covariates is not 

If GCV is 

If GCV is 

If GCV is 
Sangalli, L.M., Ramsay, J.O. & Ramsay, T.O., 2013. Spatial spline regression models. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 75(4), pp.681.703.
smooth.FEM.basis
, smooth.FEM.PDE.basis
, smooth.FEM.PDE.sv.basis
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