cv.summary.bma

object

output from <code><a href="/link/predict.bma?package=BAS&version=0.3" 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 (to appear 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