This function performs Bayesian Model Averaging on a list of
different Spatial Econometrics models. These models have been computed
under different values of the spatial autocorrelation parameter rho
.
INLABMA(models, rho, logrhoprior = rep(1, length(rho)), impacts = FALSE,
usenormal = FALSE)
List of INLA models, computed for different values of rho
.
A vector with the values of rho
used to compute models
.
Vector with the values of the log-prior density of rho
.
Logical. Whether impacts should be computed.
Logical. Whether the posterior marginal of rho
is assumed to be
Gaussian.
A list with the averaged components. Another component called
rho
is added, with its posterior marginal and some other
summary information.
This functions perfomrs BMA on most of the compponents of an INLA model
using the marginal likelihoods of the models and the provided
log-prior density of rho
.
Roger S. Bivand, Virgilio G<U+000ED97A>-Rubio, H<e5>vard Rue (2014). Approximate Bayesian inference for spatial econometrics models. Spatial Statistics, Volume 9, 146-165.
Roger S. Bivand, Virgilio G<U+000ED97A>-Rubio, H<e5>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/.