fdaPDE: Functional Data Analysis and Partial Differential Equations (PDE); Statistical Analysis of Functional and Spatial Data, Based on Regression with PDE Regularization

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.

Getting started

Package details

AuthorEardi Lila [aut], Laura M. Sangalli [aut], Eleonora Arnone [aut, cre], Jim Ramsay [aut], Luca Formaggia [aut], Alessandra Colli [ctb], Luca Colombo [ctb], Carlo de Falco [ctb]
MaintainerEleonora Arnone <eleonora.arnone@polimi.it>
LicenseCC BY-NC-SA 4.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the fdaPDE package in your browser

Any scripts or data that you put into this service are public.

fdaPDE documentation built on April 29, 2020, 5:07 p.m.