BMA2: Perform complete Bayesian Model Averaging on some Spatial...
In INLABMA: Bayesian Model Averaging with INLA

Description Usage Arguments Details Value Author(s) References See Also

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.

1 2	INLABMA(models, rho, logrhoprior = rep(1, length(rho)), impacts = FALSE, usenormal = FALSE)

`models`	List of INLA models, computed for different values of `rho`.
`rho`	A vector with the values of `rho` used to compute `models`.
`logrhoprior`	Vector with the values of the log-prior density of `rho`.
`impacts`	Logical. Whether impacts should be computed.
`usenormal`	Logical. Whether the posterior marginal of `rho` is assumed to be Gaussian.

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 G<f3>mez-Rubio <virgilio.gomez@uclm.es>

Roger S. Bivand, Virgilio G<f3>mez-Rubio, H<e5>vard Rue (2014). Approximate Bayesian inference for spatial econometrics models. Spatial Statistics, Volume 9, 146-165.

Roger S. Bivand, Virgilio G<f3>mez-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/.

sem.inla, slm.inla, sdm.inla

INLABMA documentation built on May 2, 2019, 4:42 p.m.