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.

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Package details

AuthorEardi Lila [aut, cre], Laura M. Sangalli [aut], Jim Ramsay [aut], Luca Formaggia [aut]
MaintainerEardi Lila <[email protected]>
LicenseCC BY-NC-SA 4.0
Package repositoryView on CRAN
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fdaPDE documentation built on May 29, 2017, 9:06 a.m.