An implementation of regression models with partial differential regularizations, making use of the Finite Element Method. The models efficiently handle data distributed over irregularly shaped domains and can comply with various conditions at the boundaries of the domain. A priori information about the spatial structure of the phenomenon under study can be incorporated in the model via the differential regularization. See Sangalli, L. M. (2021). Spatial Regression With Partial Differential Equation Regularisation. International Statistical Review, 89(3), 505-531. for an overview.
Version: | 1.1-8 |
Depends: | R (≥ 3.5.0), stats, grDevices, graphics, geometry, rgl, Matrix, plot3D, methods |
LinkingTo: | RcppEigen |
Suggests: | MASS, testthat |
Published: | 2022-06-17 |
Author: | Eleonora Arnone [aut, cre], Laura M. Sangalli [aut], Eardi Lila [aut], Jim Ramsay [aut], Luca Formaggia [aut], Giovanni Ardenghi [ctb], Aldo Clemente [ctb], Alessandra Colli [ctb], Alberto Colombo [ctb], Luca Colombo [ctb], Carlo de Falco [ctb], Enrico Dall'Acqua [ctb], Giulia Ferla [ctb], Lorenzo Ghilotti [ctb], Jiyoung Kim [ctb], Martina Massardi [ctb], Giorgio Meretti [ctb], Giulio Perin [ctb], Clara Pigolotti [ctb], Andrea Poiatti [ctb], Gian Matteo Rinaldi [ctb], Stefano Spaziani [ctb], Andrea Vicini [ctb] |
Maintainer: | Eleonora Arnone <eleonora.arnone at polimi.it> |
License: | CC BY-NC-SA 4.0 |
Copyright: | See the individual source files for copyrights information |
NeedsCompilation: | yes |
SystemRequirements: | C++11, GNU make |
Materials: | README NEWS |
In views: | FunctionalData |
CRAN checks: | fdaPDE results |
Reference manual: | fdaPDE.pdf |
Package source: | fdaPDE_1.1-8.tar.gz |
Windows binaries: | r-devel: fdaPDE_1.1-8.zip, r-release: fdaPDE_1.1-8.zip, r-oldrel: fdaPDE_1.1-8.zip |
macOS binaries: | r-release (arm64): fdaPDE_1.1-8.tgz, r-oldrel (arm64): fdaPDE_1.1-8.tgz, r-release (x86_64): fdaPDE_1.1-8.tgz, r-oldrel (x86_64): fdaPDE_1.1-8.tgz |
Old sources: | fdaPDE archive |
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