summary.select.explore

An object of class <code>select.explore</code>

object

hypothesis to summarize (default is the alternative H1)

log scale for the Bayes factors (default is <code>TRUE</code>)

if <code>TRUE</code> partial correlations and credible intervals are provided

summarize

Summary method for <code>select.explore</code> objects

Fit Bayesian Gaussian graphical models. The methods are separated into
two Bayesian approaches for inference: hypothesis testing and estimation. There are
extensions for confirmatory hypothesis testing, comparing Gaussian graphical models,
and node wise predictability. These methods were recently introduced in the Gaussian
graphical model literature, including
Williams (2019) <doi:10.31234/osf.io/x8dpr>,
Williams and Mulder (2019) <doi:10.31234/osf.io/ypxd8>,
Williams, Rast, Pericchi, and Mulder (2019) <doi:10.31234/osf.io/yt386>.

summary.select.explore: Summary method for `select.explore` objects

Description

Usage

Arguments

See Also