THIS PAGE IS STILL UNDER CONSTRUCTION!!!Following is a list of the most useful functions included in the INLA library.
Function name
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Usage |
inla()
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Fit the model
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inla.hyperpar()
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Re-fit the model obtained by inla() in order to obtain better estimates for the hyperparameters
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f() |
Defines non-linear effects (spatial, smooth, etc) in the model formula
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inla.dmarginal()
inla.pmarginal()
inla.qmarginal()
inla.rmarginal()
inla.expectation()
|
Density, distribution function, quantile function, random
generation, interpolation and computation of expectations for
marginals obtained by inla() or inla.hyperpar()
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inla.vector2matrix()
inla.matrix2vector() |
Convert from vector to matrix and viceversa.
|
inla.node2lattice()
inla.lattice2node()
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Convert from a two dimensional index on a grid to a one dimensional index in a vector.
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plot()
summary()
|
Plot and print a summary of an object obtained by inla() or inla.hyperpar() |
inla.group()
|
make a disctete representation of a continous covariate
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inla.matrix2Cmatrix
inla.matrix2graph
inla.Cmatrix2matrix
inla.complete.Cmatrix
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inla.spline
inla.splinefun
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