meshassessment: Interactive mesh building and diagnostics
In inbo/INLA: Full Bayesian Analysis of Latent Gaussian Models using Integrated Nested Laplace Approximations
Description
Usage
Author(s)
See Also
Examples
Description
Assess the finite element
approximation errors in a mesh for interactive R sessions.
More detailed assessment tools are in meshbuilder.
Usage
1
inla.mesh.assessment(mesh)
Author(s)
Finn Lindgren finn.lindgren@gmail.com
See Also
inla.mesh.2d, inla.mesh.create, meshbuilder
Examples
1
2
3
4
bnd <- inla.mesh.segment(cbind(c(0, 10, 10, 0, 0),
c(0, 0, 10, 10, 0)), bnd = TRUE)
mesh <- inla.mesh.2d(boundary = bnd, max.edge = 1)
out <- inla.mesh.assessment(mesh, spatial.range = 3, alpha = 2)
inbo/INLA documentation built on Dec. 6, 2019, 9:51 a.m.
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Description Usage Author(s) See Also Examples
Description
Assess the finite element
approximation errors in a mesh for interactive R sessions.
More detailed assessment tools are in meshbuilder.
Usage
1 | inla.mesh.assessment(mesh)
|
Author(s)
Finn Lindgren finn.lindgren@gmail.com
See Also
inla.mesh.2d, inla.mesh.create, meshbuilder
Examples
1 2 3 4 | bnd <- inla.mesh.segment(cbind(c(0, 10, 10, 0, 0),
c(0, 0, 10, 10, 0)), bnd = TRUE)
mesh <- inla.mesh.2d(boundary = bnd, max.edge = 1)
out <- inla.mesh.assessment(mesh, spatial.range = 3, alpha = 2)
|
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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