Parameter used in the mixture of the two precission matrices.
improve
Logical. Whether to improve the fitted models to obtain better
estimates of the marginal likelihoods.
fhyper
Extra arguments passed to the definition of the hyperparameters.
...
Extra arguments passed to function inla.
Details
This function fits the model proposed by Leroux et al. (1999)
for a given value of parameter lambda. This parameter
controls the mixture between a diagonal precission (lambda=1)
and an intrinsic CAR precission (lambda=0).
The marginal log-likelihood is corrected to add half the log-determinant of the precission matrix.
Leroux B, Lei X, Breslow N (1999). Estimation of Disease Rates in Small
Areas: A New Mixed Model for Spatial Dependence. In M Halloran, D Berry
(eds.), Statistical Models in Epidemiology, the Environment and Clinical
Trials, pp. 135-178. Springer-Verlag, New York.
Roger S. Bivand, Virgilio G<c3><b3>mez-Rubio, H<c3><a5>vard Rue (2014). Approximate
Bayesian inference for spatial econometrics models. Spatial Statistics,
Volume 9, 146-165.
Roger S. Bivand, Virgilio G<c3><b3>mez-Rubio, H<c3><a5>vard Rue (2015). Spatial
Data Analysis with R-INLA with Some Extensions. Journal of
Statistical Software, 63(20), 1-31. URL http://www.jstatsoft.org/v63/i20/.