BMArho: Compute BMA of 'fitted.values' from a list of INLA objects
In INLABMA: Bayesian Model Averaging with INLA

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

View source: R/BMArho.R

This functions performs a weighted average of the component fitted.values from a list of INLA objects.

1	BMArho(models, rho, logrhoprior = rep(1, length(rho)))

`models`	List of INLA models fitted for different values of `rho`
`rho`	Vector fo values of `rho` used to compute the list in `models`.
`logrhoprior`	Log-prior density for each value of `rho`.

The different fitted.values are weighted using the values of the marginal likelihood of the fitted models and the prior of parameter rho. rho is a parameter that is fixed when computing models and that have a log-prior density defined in pogrhoprior.

Vector of averaged fitted values.

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/.

INLABMA

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