inla.mesh.deriv: Directional derivative matrices for functions on meshes.
In andrewzm/INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion
Description
Usage
Arguments
Value
Author(s)
Description
Calculates directional derivative matrices for functions on
inla.mesh objects.
Usage
1
inla.mesh.deriv(mesh, loc)
Arguments
mesh
An inla.mesh object.
loc
Coordinates where the derivatives should be evaluated.
Value
A
The projection matrix, u(loc_i)=sum_j A_ij w_i
dx, dy, dz
Derivative weight matrices, du/dx(loc_i)=sum_j
dx_ij w_i, etc.
Author(s)
Finn Lindgren finn.lindgren@gmail.com
andrewzm/INLA documentation built on May 10, 2019, 11:12 a.m.
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Description Usage Arguments Value Author(s)
Description
Calculates directional derivative matrices for functions on
inla.mesh objects.
Usage
1 | inla.mesh.deriv(mesh, loc)
|
Arguments
mesh |
An |
loc |
Coordinates where the derivatives should be evaluated. |
Value
A |
The projection matrix, |
dx, dy, dz |
Derivative weight matrices, |
Author(s)
Finn Lindgren finn.lindgren@gmail.com
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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