Getting started

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Following is a list of the most useful functions included in the INLA library.

Function name
 Usage
 inla()
Fit the model

inla.hyperpar()

 Re-fit the model obtained by inla() in order to obtain better estimates for the hyperparameters

 f()
Defines non-linear effects (spatial, smooth, etc) in the model formula 
 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()
inla.vector2matrix()
inla.matrix2vector()
 Convert from vector to matrix and viceversa.
 inla.node2lattice()
inla.lattice2node()
Convert from a two dimensional index on a grid to a one dimensional index in  a vector.
 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
inla.matrix2Cmatrix
inla.matrix2graph
inla.Cmatrix2matrix 
inla.complete.Cmatrix  
 
inla.spline
inla.splinefun
 
   
   

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