INLABMA | R Documentation |
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)
models |
List of INLA models, computed for different values of |
rho |
A vector with the values of |
logrhoprior |
Vector with the values of the log-prior density of |
impacts |
Logical. Whether impacts should be computed. |
usenormal |
Logical. Whether the posterior marginal of |
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
.
A list with the averaged components. Another component called
rho
is added, with its posterior marginal and some other
summary information.
Virgilio Gómez-Rubio <virgilio.gomez@uclm.es>
Roger S. Bivand, Virgilio Gómez-Rubio, Hĺvard Rue (2014). Approximate Bayesian inference for spatial econometrics models. Spatial Statistics, Volume 9, 146-165.
Roger S. Bivand, Virgilio Gómez-Rubio, Hĺvard 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/.
sem.inla
, slm.inla
, sdm.inla
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