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Latent models

Here is a list of all models for the latent Gaussian field which are  implemented in the R inla package. For each model we provide a detailed description and an example of usage.
 




 Model 
 

 Name


 Description

Independent random variables
 iidindep.pdf
 Linear linear linear.pdf
 Constrained linear
 clinear clinear.pdf
Random walk of order 1
 rw1rw1.pdf
Random walk of order 2
rw2rw2.pdf
 Continuous random walk of order 2
crw2crw2.pdf
 Model for seasonal variation seasonalseasonal.pdf
Model for spatial effect
besagbesag.pdf
 Model for spatial effect
 besagproper besagproper.pdf
 Model for weighted spatial effects
 besag2besag2.pdf
Model for spatial effect + random effect bymbym.pdf
Autoregressive model of order 1 ar1ar1.pdf
 Autoregressive model of order p
ar
 ar.pdf
 The Ornstein-Uhlenbeck process
ou
ou.pdf
User defined structure matrix, type 0  generic0 generic0.pdf
User defined structure matrix, type1
 generic1generic1.pdf
 User defined structure matrix, type2
 generic2 generic2.pdf
Model for correlated effects with Wishart prior (dimension 1, 2, 3, 4 and 5).
iid1d, iid2d, iid3d, iid4d, iid5d
iid123d.pdf
Classical random effect model
 zz.pdf
 Random walk of 2nd order on a lattice
 rw2drw2d.pdf
Gaussian field with Matern covariance function
 matern2dmatern2d.pdf
 Classical measurement error model
 mec mec.pdf
 Berkson measurement error model
meb meb.pdf
 Spatial lag model
 slmslm.pdf
 Sigmodial and reverse sigmodial sigm, revsigm sigm.pdf

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