cv.summary.bma

object

output from <code><a href="/link/predict.bma?package=BAS&version=0.45" rd-options="" data-mini-rdoc="BAS::predict.bma">predict.bma</a></code>

pred

ytrue

Compute summaries from out of sample predictions for a BMA object

regression

Package for Bayesian Model Averaging in linear models
        using stochastic or deterministic sampling without replacement
        from posterior distributions. Prior distributions on
        coefficients are from Zellner's g-prior or mixtures of g-priors
        corresponding to the Zellner-Siow Cauchy Priors or the Liang et
        al hyper-g priors (JASA 2008). Other model selection criterian
        include AIC and BIC. Sampling probabilities may be updated
        based on the sampled models. Allows uniform or beta-binomial
        prior distributions on models.

cv.summary.bma: Summaries for Out of Sample Prediction

Description

Usage

Arguments

Value

See Also