fdaPDE: Functional Data Analysis and Partial Differential Equations; Statistical Analysis of Functional and Spatial Data, Based on Regression with Partial Differential Regularizations

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.

Version: 0.1-4
Depends: R (≥ 3.0.0), stats, grDevices, graphics, rgl
LinkingTo: RcppEigen
Suggests: MASS
Published: 2016-04-23
Author: Eardi Lila [aut, cre], Laura M. Sangalli [aut], Jim Ramsay [aut], Luca Formaggia [aut]
Maintainer: Eardi Lila <el425 at cam.ac.uk>
License: CC BY-NC-SA 4.0
Copyright: See the individual source files for copyrights information
NeedsCompilation: yes
SystemRequirements: C++11
In views: FunctionalData
CRAN checks: fdaPDE results


Reference manual: fdaPDE.pdf
Package source: fdaPDE_0.1-4.tar.gz
Windows binaries: r-devel: fdaPDE_0.1-4.zip, r-release: fdaPDE_0.1-4.zip, r-oldrel: fdaPDE_0.1-4.zip
OS X binaries: r-release: fdaPDE_0.1-4.tgz, r-oldrel: fdaPDE_0.1-4.tgz
Old sources: fdaPDE archive


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