covs.test

Implements a finite area test function the horseshoe domain.

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) <doi:10.1111/insr.12444> "Spatial Regression With Partial Differential Equation Regularisation" for an overview. The release 1.1-9 requires R (>= 4.2.0) to be installed on windows machines.

Eleonora Arnone

fdaPDE

Physics-Informed Spatial and Functional Data Analysis

Aldo Clemente

Laura M. Sangalli

Eardi Lila

Jim Ramsay

Luca Formaggia

Giovanni Ardenghi

Blerta Begu

Michele Cavazzutti

Alessandra Colli

Alberto Colombo

Luca Colombo

Carlo de Falco

Enrico Dall'Acqua

Giulia Ferla

Lorenzo Ghilotti

Cristina Galimberti

Jiyoung Kim

Martina Massardi

Giorgio Meretti

Simone Panzeri

Giulio Perin

Clara Pigolotti

Andrea Poiatti

Gian Matteo Rinaldi

Stefano Spaziani

Andrea Vicini

David C. Sterratt

covs.test function

<dl><dt>x, y</dt>
<dd>Points at which to evaluate the test function.</dd></dl>

Arguments

Covariate test function for the horseshoe domain — covs.test

<dl>

<dt>x, y</dt>
<dd>Points at which to evaluate the test function.</dd>

</dl>

Covariate test function for the horseshoe domain

covs.test: Covariate test function for the horseshoe domain

Description

Usage

Value

Arguments