DIC: Estimate Deviance Information Criterion (DIC)
In Brq: Bayesian Analysis of Quantile Regression Models
Description
Usage
Arguments
References
Description
This function computes the Deviance Information Criterion (DIC) for Brq, which is a hierarchical modeling generalization of the Akaike Information Criterion.
It is useful for Bayesian model selection.
Usage
1
DIC(object)
Arguments
object
an output object of the Brq function.
References
Spiegelhalter, D.J.. Best, N.G., Carlin, B.P., van der Linde, A. (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society, Series B, 64 (4): 583-639.
Brq documentation built on July 1, 2020, 7:07 p.m.
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Description Usage Arguments References
Description
This function computes the Deviance Information Criterion (DIC) for Brq, which is a hierarchical modeling generalization of the Akaike Information Criterion. It is useful for Bayesian model selection.
Usage
1 | DIC(object)
|
Arguments
object |
an output object of the Brq function. |
References
Spiegelhalter, D.J.. Best, N.G., Carlin, B.P., van der Linde, A. (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society, Series B, 64 (4): 583-639.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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