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Category | I |
---|---|
Domain name | inla.co.uk |
IP | 109.203.102.96 |
Country by IP | GB |
Web server type | Apache |
Hostname | vc10.eukhosting.net |
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4.1 Linear predictor. The syntax of the linear predictor in R-INLA is similar to the syntax used to fit linear models with the lm() function. We need to write the response variable, then the ~ symbol, and finally the fixed and random effects separated by + operators. Random effects are specified by using the f() function. The first argument of f() is an index vector that specifies the element ... Visit website
In order to estimate the spatial random effect INLA uses a mesh, that can be easily defined as follow: library (INLA) # meshes in 2D space can be created as follow: mesh <- inla.mesh.2d (loc = dat [,c ("x", "y")], max.edge = c (50, 5000)) Copy. inla.mesh.2d needs to location of the samples plus some informations on how precise the mesh should ... Visit website