Package: fdaPDE
Version: 1.0-9
Date: 2020-04-27
Title: Statistical Analysis of Functional and Spatial Data, Based on
        Regression with PDE Regularization
Authors@R: c(person("Eardi", "Lila", role = c("aut"),
		     email = "elila@uw.edu"),
	      person("Laura M.", "Sangalli", role = c("aut"),
		     email = "laura.sangalli@polimi.it"),
		    person("Eleonora", "Arnone", role = c("aut", "cre"),
		     email = "eleonora.arnone@polimi.it"),
	      person("Jim", "Ramsay", role = "aut",
		     email = " ramsay@psych.mcgill.ca"),
		    person("Luca", "Formaggia", role = "aut",
		     email = " luca.formaggia@polimi.it"),
		    person("Alessandra", "Colli", role = "ctb"),
		    person("Luca", "Colombo", role = "ctb"),
		    person("Carlo", "de Falco", role = "ctb"))
Maintainer: Eleonora Arnone <eleonora.arnone@polimi.it>
Depends: R (>= 3.5.0), stats, grDevices, graphics, geometry, rgl,
        Matrix, plot3D, plot3Drgl
LinkingTo: RcppEigen
Suggests: MASS, testthat
Description: 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., Ramsay, J.O., Ramsay, T.O. (2013), Spatial spline regression models for an overview. 
License: CC BY-NC-SA 4.0
Copyright: See the individual source files for copyrights information
NeedsCompilation: yes
SystemRequirements: C++11
RoxygenNote: 7.0.2
Encoding: UTF-8
Packaged: 2020-05-14 21:58:40 UTC; eleon_000
Author: Eardi 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]
Repository: CRAN
Date/Publication: 2020-05-15 15:10:02 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 13:19:02 UTC; windows
Archs: i386, x64
