fdaPDE implements a class of spatial regression models in between statistics and numerical analysis. These models are particularly well-suited for situations where a prior knowledge of the underlying phenomenon is known and can be described in terms of a Partial Differential Equation (PDE).
To install the package from the Github repository, use the command install_github from the
R package devtools as follows:
install_github("eardi/fdaPDE")
Some example can be found visualizing the help of the three main smoothing functions i.e.
?smooth.FEM.basis or ?smooth.FEM.PDE.basis or ?smooth.FEM.PDE.SV.basis